RECOVER research ledger · skin recovery observation
Research Ledger · Issue 01

Research record

RECOVER's computational and literature ledger for scar-surface research

RESEARCH STATUS · Current evidence stage

Public scope and the current research stage come first

Not currently published
Peer-reviewed scar clinical outcomes authored by Han Cheong Woo
From the Gangnam opening
Consecutive case records from the Gangnam clinic
Before independent validation
Repeatability and measurement-error results for RECOVER equipment
Currently public
Computational studies, preprints, and technical records

The figures below show the volume of public research records. They do not represent patient outcomes or equipment accuracy.

PUBLIC RECORD VOLUME

26 recordsdetailed public records
40 recordspublic DOI/OSF/Zenodo identifiers
14 targetsskin-recovery-related targets
50+ toolscomputational tool validation
770+references
research record principles

To explain scars more precisely,
we keep the research as a record

Indentation, hardening, persistent redness or pigmentation, and the speed of recovery cannot be reduced to one label. This clinic-authored ledger organizes literature, images, and computational studies to refine scar-surface observation. It is not a public patient dataset or a record of treatment outcomes. Clinical scar reading remains a separate physician-led process based on depth, tethering, color, and skin response.

- featured research candidate example

research candidate compared computationally

computational analysis stage

An example research question at the computational-analysis stage.

- candidate library
EMB-3
R15
R16
R17
PVP-1
CHR-A
GENESIS MEDICINE LAB

The research space

Genesis Medicine Lab, where literature, images, and computational research are organized under one standard.

RECOVER Gangnam Genesis Medicine Lab
Genesis Medicine Lab
- Why we record

Skin recovery is difficult to explain simply as
a wound closing.

The processes of indentation, hardening, persistent pigmentation, post-acne recovery speed, and collagen decline in aged skin involve cells, proteins, inflammation, the skin barrier, and individual response together.

RECOVER does not leave these questions to impressions alone. It reviews recovery-planning records, skin images, public literature, and computational analysis together.

The records on this page are questions for understanding skin recovery more precisely. Most are currently computational analysis and literature review records, shared as research background before human application.

research disclosure standards
- stage

research stage

Current public records center on computational analysis and literature review. They are separated from clinical trials, animal experiments, and patient-application data.

- scope

scope of use

In clinic, this research is used as background and a standard for viewing scars.

- transparency

transparent disclosure

Some research code and records are shared for external review.

- language

communication standard

All language is limited to explaining the stage and source of research activity.

IChapter
Chapter 1 - research structure

How the research continues -
reading, records, and computational research

RECOVER Gangnam's recovery-planning records, capture and analysis tools, and computational research serve distinct roles.

— Chapter I · Clinic

RECOVER Gangnam

A clinical site operating the skin-recovery observation and record system. 5F, Buil Tower, Yeoksam-dong, Gangnam · opening date September 7, 2026.

— Chapter II · Records and analysis

HAN PREDICT, Inc.

The technology company founded by Han Cheong Woo. It designs and develops the review screens and record tools that read 3D scan records directly, and operates them at RECOVER Gangnam.

— Chapter III · Molecular research

Genesis_Medicine Lab

We organize research questions related to skin recovery through computational analysis.

Han Cheong Woo (HanCheongWoo) 1,2,3

1 Genesis_Medicine Lab, Seoul, Republic of Korea

2 HAN PREDICT, Inc. (hanpredict.com)

3 Recover Korean Medicine Clinic (recover-clinic.kr)

ORCID · 0009-0004-4805-8815 ↗
DStack
Up to this point, RECOVER's research philosophy has been explained for visitors.

From here, the material is for researchers and collaborators:
detailed records

Discovery Programs publishes target definition, molecular simulation, skin-absorption models, and computational-tool validation as separate records. RECOVER Research prioritizes documenting process and validation order over results.

From here, the technical records are for researchers and collaborators. DOI, OSF, Zenodo, computational-tool, and target records make the research process and validation standards reviewable.

— 01 · Core Targets

Scar · ECM · MMP-1

We organize the five scar-regeneration targets (TGF-beta1, MMP-1, COL1A1, CTGF, LOX) alongside computational validation records for MMP-1-related structure panels.

record07
— 02 · Discovery

xtb · Boltz-2 · ADMET-AI

Cross-validation spans semi-empirical quantum chemistry, protein-ligand cofolding, drug-likeness assessment, Bayesian active learning, the NNP 5-stack (MatterSim 5M, Orb-v3 OMol25, MACE-OMol25, eSEN, UMA), de novo design (RFdiffusion 3, LigandMPNN, FlowPacker, BoltzGen), pocket consensus (PocketMiner, DeepPocket, fpocket), NP-MS (SIRIUS+CFM-ID+MIST+DiffMS), and TCM databases (TCMSP+BATMAN-TCM 2.0).

record13
— 03 · Translation

Topical PBPK · Chronotherapy · Korean PGX

The Dancik four-layer skin model and a learned logKp model are connected to Jao-ryuju (meridian chronotherapy), a Korean PGx topical framework, and Dongui Bogam/Hyangyak Jipseongbang scaffold cross-references to keep time, individual variation, and literature maps for topical candidates distinct.

record04
— 04 · Validation

ABFE · NNP · LigandMPNN · PoseBusters

We validate the limits and operating conditions of computational tools in public records with external identifiers. Reproducibility measures include three-NNP cross-agreement r=0.9142, PoseBusters v2 93.9% pass, and LigandMPNN Zn²⁺ recovery 95.3%.

record08
IIChapter
Chapter 2 - research methods

14 protein targets,
4 recovery questions

The 26 detailed records and 35+ expanded records compare molecular targets related to skin recovery computationally. Some tools and code are public for external reproducibility.

— Coverage Map · 14 targets × 4 clusters
SCAR · 5 PIGMENTATION · 4 ALOPECIA · 2 ACNE · PHOTOAGING · 3
— Scar

scar regeneration

TGF-β1MMP-1COL1A1CTGFLOX
— Pigmentation

pigmentation

TyrosinaseMITFTYRP1DCT
— Androgenic Alopecia

hair loss

SRD5A2AR
— Acne · Photoaging

acne / photoaging

SREBP1PTGS2SIRT1
IIMethods
Chapter 2 - Computational Toolkit

50+ frontier-tech tools,
validation matters more than installation

Alongside 12 representative tools, NNP 5-stack, de novo design, pocket consensus, NP-MS, TCM databases, and 60+ adapters cross-check the same questions across multiple computational axes.

01

Boltz-2

structure prediction · MIT

protein-candidate binding structure calculation

02

OpenMM 8

molecular dynamics · MIT

molecular dynamics simulation (~10-200 ns)

03

ADMET-AI

drug-likeness · MIT

41 drug-likeness related metrics

04

RFdiffusion3 · LigandMPNN

de novo design · open stack

Zn recovery 77.5% vs ProtMPNN 40.6% · FlowPacker/BoltzGen validation

05

NNP 5-stack

MatterSim · Orb · MACE · eSEN · UMA

OMol25/OMat energy-landscape cross-validation

06

xTB / GFN2

quantum chemistry · LGPL

semi-empirical quantum chemistry (HOMO/LUMO)

07

RDKit

cheminformatics · BSD-3

cheminformatics and SMILES handling

08

PoseBusters v2

validation · MIT

93.9% pass rate used as a structural plausibility criterion

09

Open Targets 26.03

EMA+PMDA-inclusive

6-source independent corroboration

10

NP-MS · TCM stack

SIRIUS+CFM-ID+MIST+DiffMS

TCMSP · BATMAN-TCM 2.0 and herbal-medicine scaffold cross-references

11

Dancik PBPK

pharmacokinetics - method

four-layer skin absorption model

12

Frontier Stack

50+ tools · 60+ adapters

cross-validation results are prioritized over install logs

IIIRecords
Chapter 3 - Public Records

public research records,
26 detailed records and 35+ expanded records

Academic records written and published by Genesis_Medicine Lab. The table keeps detailed records I-XXVI, while expanded records such as paper_B v1 and paper #19 v2 outline are reflected in the program narrative above. These are research-stage records, separate from clinical efficacy claims.

The titles and abstracts below are computational and literature-based research records, not a list of treatments offered by RECOVER Clinic Gangnam. Candidate compounds, targets and calculated values do not establish efficacy in people.

- Status badges: 26 detailed record stages
Preprint 12records
A public record deposited in Zenodo, OSF, or a related repository; it awaits external peer review or further validation.
Tech Report 07records
A standalone methodology and tool-validation record, published as a protocol or benchmark for external reproduction.
Revision 03records
Records under correction review for their publication or quantitative evidence.
Framework 03records
A framework record focused on structure, literature, and concepts rather than computational results; it provides a base for other records.
In Prep 01records
A DOI has been issued, but the manuscript is still in preparation. It will move to Preprint when the text is finalized.
Forthcoming 01planned
Records planned for deposit soon. They move to Preprint when an external identifier (DOI) is issued.
- Discovery Programs Navigator

I-XXVI detailed records and 35+ expanded records grouped by research program

The table keeps detailed records in Roman numeral order I-XXVI, while the upper chip strip highlights IX-XIII, XVIII, XIX, and the paper_B expansion axis. Records spanning two programs are shown in both.

— Program A

Scar & ECM Remodeling

A research-candidate discovery stream for scar and ECM remodeling. It brings together the five targets (TGF-beta1, MMP-1, COL1A1, CTGF, LOX), multi-target chromanol series, and computational validation of MMP-1-related structure panels.

— Program B

Topical Translation

An axis using quantitative models for skin absorption and time-dependent pharmacokinetics, separating Dancik four-layer PBPK, Jao-ryuju chronotherapy, and a Korean PGx topical framework.

— Program C

Method Validation

An axis validating the limits of computational tools themselves, with public records on ZAFF-AMBER metal limitations, the OMol25 paradox, Boltz-2 steering, LigandMPNN metal coordination, and multifidelity active learning.

— Secondary Screens

pigmentation · hair loss · acne · framework

Auxiliary verticals and framework records outside the main programs, including single-screen comparisons for pigmentation, hair loss, acne, and photoaging, plus literature and structural frameworks such as a Korean PGx panel and Dongui Bogam atlas.

— Program × Record · 4 × 26 matrix columns I–XXVI · rows A · B · C · S
A · Scar/ECMscars · ECM
10
B · Topicalskin absorption
03
C · Methodtool validation
12
S · Secondaryauxiliary / framework
07
1234567891011121314151617181920212223242526
A · scar/ECM B · topical C · method S · secondary cross-program (XV · XVI · XVII · XXI · XXVI)

* cross-program · record spanning two programs

01
XXVI
Revision review

Three-neural-network-potential cross-agreement and bound/unbound coarse classification for MMP-1 zinc active-site structure panels (without asserting identity or potency; under correction review)

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

Cross-Validation of Three Neural Network Potentials for MMP-1 Zn Active-Site Structure Panels: Reproducibility Agreement and Bound/Unbound Coarse Classification

We assess cross-model reproducibility over structure panels for the MMP-1 Zn²⁺ active site without asserting compound identities or potency. Three-NNP comparison yields a minimum pairwise Pearson r = 0.9142 (bootstrap 95% CI [0.826, 0.971]; leave-one-out ±0.0104); MACE-OMol25 and Orb-v3 are highly correlated (r = 0.9992) and therefore constitute effectively two independent engines. An upstream GFN2-xTB OPT pre-relaxation reduces the σ outlier from 14.27 to 0.0069 kcal/mol — a 2,039-fold reduction — and structure generation yields a 93.9% PoseBusters v2 pass rate. We report conformal calibration and coarse bound/unbound classification as reproducibility-focused computational assessments; no inhibitor potency or affinity ranking is claimed. Correction review is active; the linked Zenodo v6 record remains the current public version. Sole author. In silico stage; no clinical efficacy claim.
02
XXIII
Tech Report

A record validating computational-tool reliability in research on skin collagen enzymes including MMP-1

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

The OMol25 Paradox: Training-Data Domain Specificity Outweighs Architecture in Neural Network Potential Performance on Zn²⁺ Metalloenzyme Conformer Energies

Machine-learning interatomic potentials (MLIPs) are widely assumed to dominate semi-empirical alternatives on molecular tasks. We test this assumption on the conformational energy landscape of fifteen Zn²⁺-binding matrix metalloproteinase-1 (MMP-1) inhibitors drawn from ChEMBL, generated by Boltz-2x cofold sampling with physicality steering. Across thirteen independent diffusion replicates, we evaluate ten energy functions on 100 conformers per ligand per replicate (253,500 conformer single points total). The headline finding is the OMol25 paradox: the same Orb-v3 architecture trained on Meta FAIR's OMol25 molecular dataset drops to r = 0.374 ± 0.025 against GFN1-xTB, versus r = 0.886 ± 0.009 for Orb-v3 OMat — a 0.512 Pearson gap with ≈ 68σ statistical significance across 13 replicates. The v5h revision (2026-05-15) adds a 17-cycle pipeline timing reproducibility table and a chain × concurrent-ADMET fair-share linear regression model. Cluster placement is set by training-data domain, not by architecture. We recommend materials-trained or broadly-trained MLIPs over molecular-only-trained MLIPs for Zn²⁺ metalloenzyme conformer-ensemble work; higher-level DFT validation is the next validation tier.
03
XXIV
Tech Report

Review of stability protocols for protein-ligand binding prediction tools

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

Steering potentials, not bug fixes, eliminate catastrophic outliers in Boltz-2 cofold protein-ligand affinity prediction: a six-way protocol evaluation on zinc-hydroxamate-like MMP-1 active-site ligands

Boltz-2 cofold sampling for protein-ligand affinity prediction occasionally produces catastrophic outliers — single conformers with unphysical energies that distort downstream affinity ranking. We evaluate six protocol variants on the canary ligand CHEMBL94487 and the full MMP-1 hydroxamate cohort (15 inhibitors × 100 samples each), comparing standard Boltz-2 vs. community-fork bug-patched versions, with and without the --use_potentials physicality steering flag. The full-cohort outlier rate drops from 0.067% (standard Boltz-2 without flag) to 0.000% (standard Boltz-2x with --use_potentials, σ_filt = 4.29 kcal/mol). The community fork's metal-ion bug fix alone (without the flag) does not eliminate outliers and shows σ_filt = 6.66 kcal/mol. We recommend standard Boltz-2 + --use_potentials as the publishable protocol for Zn-metalloenzyme cofold work.
04
XXV
Tech Report

Public record of a metalloenzyme-design pipeline related to ECM and collagen regeneration

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

End-to-end de novo design of Zn²⁺ metallohydrolase binders: an open-source canonical pipeline anchored by LigandMPNN's metal-coordination recovery

De novo enzyme and binder design for Zn²⁺ metallohydrolases (MMP, HDAC, carbonic anhydrase families) requires a sequence-design step that respects the metal-coordination geometry of the active site. We benchmark the canonical four-stage open-source pipeline (RFdiffusion3 backbone generation → LigandMPNN sequence design → FlowPacker side-chain packing → AlphaFold3/Boltz-2x cofold validation) on 1HFC matrix metalloproteinase-1 catalytic domain. The headline finding: LigandMPNN doubles Zn-coordinating residue native recovery from 46.4% (plain ProteinMPNN) to 95.3%, with structural-Zn-triad recovery jumping from 0% to 90.6%. ESM-C 600M zero-shot pseudoperplexity confirms the LigandMPNN designs as more native-like (2.85 vs 3.03). The pipeline assembly and per-stage failure modes are documented for community reproduction.
05
VIII
Revision review

Review of methods for calculating natural-product candidate binding affinity

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

A calibrated absolute binding free energy pipeline with flat-bottom centroid restraint and analytical standard-state correction for natural-product scaffold-hopping in OpenMM 8 / openmmtools 0.26

This technical record documents absolute binding free energy (ABFE) pipeline components, including thermodynamic-cycle closure across complex- and solvent-decoupling legs, ligand restraints, and analytical standard-state correction. Calibration and quantitative potency-assessment results are in correction review; the linked Zenodo record remains the current public version.
06
XVIII
Tech Report

Research on a computational scheduler for prioritizing skin-disease candidates

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

Cost-Aware Multi-Fidelity Bayesian Optimization with Runtime-Gated Cascading Tiers for Autonomous in silico Dermatology Discovery

Autonomous virtual-screening pipelines suffer a recurring failure mode: cheap predictors (Boltz-2 affinity, ADMET, xTB conformer scoring) accumulate thousands of candidate scores, yet expensive validation tiers (long molecular dynamics, absolute binding free energy, wet-lab) advance unevenly because the scheduler cannot reason simultaneously about cost, information value, gate-policy, and runtime availability of each…
07
XIV
Tech Report

Computational model of topical candidate absorption through skin

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

A Topical Skin PBPK Pipeline for Natural-Product-Inspired Therapeutics: Integrating Dancik 4-Layer ODE, SkinPiX-Trained LGBM logKp, and NPASS 2026 ADME Records

Topical (transdermal) drug delivery is the dominant route for dermatological therapeutics, yet most AI drug-discovery pipelines omit physiologically-based pharmacokinetic (PBPK) modeling for skin. We present a fully open-source pipeline combining: (1) Dancik 4-layer skin PBPK (stratum corneum → viable epidermis → dermis → systemic); (2) LightGBM logKp head trained on SkinPiX (n=2,326, OECD 428) + NPASS 2026 ADME reco…
08
XII
Tech Report

Genesis_Medicine — an open AI pipeline for Korean herbal-medicine drug discovery

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

Genesis_Medicine: an open-source AI pipeline for Korean traditional medicine drug discovery — ~25 active modules + ~25 adapter scaffold catalog with design philosophy (v0.3 audit-corrected)

Modern AI-driven drug discovery is built on a heterogeneous stack of open-source tools. Specialized application domains require tool selection, integration, and adaptation. We describe Genesis_Medicine, an open-source pipeline for AI-driven Korean traditional medicine (Korean herbal medicines and crude drugs) drug discovery. We honestly distinguish: (i) a 7-tool active core that produces all real pipeline outputs in this work (Boltz-2 cofold, REINVEN…
09
XXII
Tech Report

Review of how natural-product candidate rankings change with computational settings

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

Method-, conformer-count-, and solvent-robust ranking of natural-product screening corpora via xtb semi-empirical quantum chemistry: a multi-axis robustness benchmark

Tight-binding semi-empirical quantum chemistry (xtb-GFNn-xTB) has become a workhorse triage tool for ranking large compound libraries ahead of more expensive structure-based scoring. Whether the resulting ranks are robust to the methodological choices an analyst makes — the GFN parameter set, the conformer-ensemble size, and the implicit solvent model — is rarely tested at scale. We benchmark these three robustness a…
10
XXI
Revision review

Limits of binding-energy calculations for zinc-metalloenzyme targets

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

Limitations of ZAFF-AMBER absolute binding free energy calculation for zinc metalloenzyme inhibitors: a replicate-pair analysis on MMP-1

This technical record examines limitations of fixed-charge ZAFF-AMBER absolute binding free energy calculations for zinc metalloenzymes. The correction review covers quantitative accuracy and the real-activity-based ABFE failure panel; the linked OSF record remains the current public version.
11
III
Preprint

Computational study of the EMB-3 skin-scar research candidate

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

AI-driven scaffold-hopping of Embelia ribes embelin yields a topical-friendly anti-fibrotic candidate (EMB-3): an in silico case study for skin scar regeneration

Embelin (2,5-dihydroxy-3-undecyl-1,4-benzoquinone) is the principal bioactive of Embelia ribes Burm.f. (Ayurvedic Vidanga; East Asian Jadan (Vidanga)), an Ayurvedic and East Asian traditional-medicine plant with documented anti-fibrotic activity in liver and pulmonary models but no published investigation in skin fibrosis. We present an in silico case study in which embelin serves as the scaffold-hop seed for an AI-augmented …
12
I
Preprint

Evaluation of Jadan-derived compounds as skin-fibrosis research candidates

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

Embelia ribes (Vidanga, Jadan) revisited: from Ayurvedic-East Asian traditional use to AI-augmented scaffold-hopping for skin fibrosis

Embelia ribes Burm.f. (Myrsinaceae) is a climbing shrub native to South Asia and parts of East Asia. Its dried fruit, known as Vidanga in Ayurvedic medicine and Jadan (Vidanga) in Korean materia medica references, has been used for over two millennia as an anthelmintic, anti-inflammatory and digestive remedy. The principal bioactive constituent is embelin (2,5-dihydroxy-3-undecyl-1,4-benzoquinone), present at 4–5% of dry w…
13
IV
Preprint

Computational comparison of herbal compounds for topical pigmentation candidates

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

In silico screening of 15 Korean herbal compounds against tyrosinase, TYRP1 and DCT (TRP-2) for topical hyperpigmentation: real Boltz-2 cofold + ADMET-AI results identify oxyresveratrol, curcumin, and resveratrol as topical-friendly leads

Topical hyperpigmentation disorders (melasma, post-inflammatory hyperpigmentation, solar lentigines) are mediated by the tyrosinase (TYR) / TYRP1 / DCT (TRP-2) melanin-synthesis network and the master transcription factor MITF. Korean traditional medicine maintains a long-standing repertoire of traditional depigmenting formulations (depigmenting) preparations centered on Glycyrrhiza uralensis (licorice), Camellia sinensis (green tea), Morus alba (mulberry root bark), *B…
14
XV
Preprint

Research on natural-product candidates across multiple skin-disease targets

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

A Universal Pterocarpan-Vinyl-Polyphenol Scaffold for Multi-Target Skin Therapeutics: Six-Cycle Bayesian Active Learning Identifies Six Multi-Target Leaders Across 14 Skin-Disease Targets

We report the discovery of a pterocarpan-vinyl-polyphenol scaffold family that acts as a universal molecular template across six independent skin-disease verticals (scar regeneration, pigmentation, alopecia, acne, photoaging, fibrosis cross-disease). Six members of this family were identified through six rounds of Bayesian active learning (R9–R14, 4,597 cofold predictions integrated, 14 protein targets, 200-candidate…
15
XVII
Preprint

Computational review of long-term stability for topical chromanol candidates

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

R16 Topical Chromanol Lead Short Communication: 18-Pair 30 ns Matrix, 60 ns Robustness Panels, and Complete 200 ns Anchor-Triad Follow-up

R16 optimized the R15 chromanol fragment toward a topical lead hypothesis by increasing skin-window compatibility while preserving a compact chromanol core. We evaluated six chloro/dimethyl analogs across TGFB1, DCT, and TYR using Boltz-2 cofolding, an 18-pair 30 ns OpenMM stability matrix, two 60 ns robustness panels, and 100 ns plus 200 ns anchor-triad follow-up. The top cofold row was r16_03_tgfb1 (R15_chromanol_C…
16
XVI
Preprint

Review of safety and topical feasibility for chromanol-series candidates

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

R15 Chromanol Safety-First Fragment Triage: 14-Target Cofolding, ADMET/xTB Filtering, and 30 ns MD Separates Systemic-Safety and Topical-Lead Paths

R15 generated a compact chromanol fragment, OCC1COc2cc(O)ccc2C1, as a safety-first derivative of the broader pterocarpan-vinyl-polyphenol scaffold program. The central question is whether this fragment should be treated as a topical lead or as a systemic-safety fragment hypothesis. The answer is deliberately split. In ADMET/xTB triage, the R15 parent is predicted to be clean for AMES, DILI, and hERG liability, but it…
17
XX
In Prep

RECOVER R17: chromanol candidate generation map

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

RECOVER R17: chromanol generative atlas (in silico)

DOI issued; manuscript metadata is the current public record.
18
V
Preprint

Computational comparison of herbal compounds for topical hair-loss candidates

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

In silico screening of 15 Korean herbal compounds against the SRD5A2 / AR / β-catenin axis for androgenetic alopecia: real Boltz-2 data identifies Emodin, Saponin Re, and Biochanin A as topical-scalp candidates with safety considerations

Androgenetic alopecia (AGA) is driven by androgen-pathway enzymes (SRD5A1/2 catalyzing testosterone → DHT), the androgen receptor (AR), and the hair-follicle-cycle Wnt / β-catenin axis. Korean traditional medicine documents hair-vitalization preparations centered on Polygonum multiflorum (Polygonum multiflorum; emodin, physcion), Astragalus membranaceus (Astragalus; astragaloside IV), and Panax ginseng (ginseng; ginsenosides Rg1, Rb1, Saponi…
19
XIII
Preprint

Computational re-examination of mechanostimulation-related axes in hair-loss research

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

Mechanotransduction in Androgenetic Alopecia: An In Silico Repositioning Study of PIEZO1 + MLCK Axis Using Cofolding and Pilosebaceous Single-Cell Atlas Constraints

Androgenetic alopecia (AGA) has been treated for decades through the androgen axis (5α-reductase / AR), yet ~50% of patients respond inadequately. A 2026 Nature Communications report identified connective tissue sheath (CTS) hypercontractility mediated by PIEZO1 mechanosensation and myosin-light-chain kinase (MLCK) as a non-androgen cause of follicular miniaturization, with ML-7 (MLCK inhibitor) restoring hair grow…
20
VII
Preprint

Comparison of polyphenols as topical photoaging candidates

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

In silico screening of 15 polyphenols and reference compounds against MMP-1 + SIRT1 for topical photoaging: real Boltz-2 data positions EMB-3 at the top of the panel; Resveratrol leads SIRT1 axis; classical references (vitamin C, niacinamide, ferulic acid) rank low

Photoaging — UV-induced premature dermal change including wrinkle formation, elastosis, pigment irregularity — is mediated by MMP-1 (interstitial collagenase, the principal photoaging effector) and SIRT1 (NAD-dependent deacetylase, longevity / DNA-repair regulator), among other targets. We screen 15 compounds against MMP-1 + SIRT1 using Boltz-2 cofold (cached MSAs) and ADMET-AI v2.0.1. FBN1, mTOR, and elastin were NO…
21
VI
Preprint

Computational comparison of herbal compounds for topical inflammatory-acne candidates

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

In silico screening of Korean herbal compounds against the SRD5A2 / AR sebaceous-androgen axis for inflammatory acne: real Boltz-2 data identifies Baicalein as top topical-friendly candidate; Berberine carries a critical hERG safety flag

Inflammatory acne pathogenesis includes androgen-driven sebaceous activity (SRD5A1/2 + AR + SREBP1), ductal hyperkeratinization, Cutibacterium acnes colonization with virulence factor expression (RoxP, GehA, sortase), and inflammatory cascades. Korean traditional medicine documents anti-acne preparations centered on Coptis rhizome (Coptis chinensis; berberine, palmatine), Scutellaria root (Scutellaria baicalensis; baicalein, baicalin, w…
22
IX
Preprint

Review of how far skin-scar research can be connected to systemic-fibrosis research

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

From skin scar to systemic fibrosis: Open Targets evidence and the limits of canonical anti-fibrotic axis-based cross-disease hypothesis (an EMB-3 in silico case)

Pathological fibrosis across organs — skin scarring, idiopathic pulmonary fibrosis (IPF), systemic sclerosis, renal fibrosis, hepatic fibrosis — is widely framed in medicinal-chemistry literature as sharing a converging TGF-β / Smad / MMP / CTGF / collagen-deposition master-switch network. We investigated whether this conceptual axis-sharing translates to evidence-based cross-disease applicability for an AI-derived m…
23
XIX
Preprint

paper #19 v1 · public scaffold atlas linking Dongui Bogam and Hyangyak Jipseongbang herbs to modern molecular targets

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

Korean herbal medicine scaffold cross-reference: a literature-grounded scaffold atlas linking Dongui Bogam and Hyangyak Jipseongbang monographs to modern target classes via 60 ns molecular dynamics evidence

Korean traditional medicine texts (Dongui Bogam 1610, Hyangyak Jipseongbang 1433) catalog hundreds of herbal monographs with empirical clinical use across centuries, but systematic cross-reference between these monographs and contemporary molecular target classes is fragmentary. We assemble a scaffold-level atlas mapping Dongui Bogam / Hyangyak Jipseongbang monograph entries to modern phytochemistry and target classes via 60 ns molecular dynamics evidence. Hypothesis-generating only; no clinical efficacy claim.
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Framework

Framework for reviewing Korean genetic variation in personalized topical herbal medicine

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

A Korean pharmacogenomics panel for topical-herb-medicine personalization: framework design integrating CYP, UGT, HLA, and skin-barrier variants

Pharmacogenomic (PGx) variation drives substantial inter-individual differences in drug response. The Korean population exhibits distinctive allele frequencies relative to the Caucasian-dominated reference data underlying many published PGx panels — for example, CYP2D6\10 (intermediate metabolizer, ~50% frequency in Koreans vs ~3% Caucasian [1]) and HLA-B\15:02 (severe cutaneous adverse-reaction risk, frequency ~0.…
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Research framework combining topical treatment and time-of-day variables

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

Chronotherapy of topical Korean medicine: a quantitative framework integrating Jao-ryuju (meridian chronotherapy) twelve-meridian timing with circadian molecular biology and topical pharmacokinetics

Korean traditional medicine maintains a centuries-old chronotherapeutic framework — meridian chronotherapy(子午流注, Cha-Oh-Ryu-Ju) twelve-meridian timing — in which the twelve principal meridians (liver/gallbladder/heart/small intestine/spleen/stomach/lung/large intestine/kidney/bladder/pericardium/triple burner) are assigned 2-hour windows of peak qi flow (sijin, sì-jin) across the 24-hour cycle. Modern circadian biology has revealed substantial molecular evidence for cell-autonomous and tissue-level circadian rhythms, includ…
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Research on connecting AI record tools in a Korean medicine clinic

This is a public computational or literature-based research record. It is not a human clinical result or evidence of a treatment outcome at RECOVER Clinic Gangnam.

An integrated AI workflow for a Korean medicine clinic: 3D facial diagnostics, RAG-based electronic medical records, and computational molecular prescription

Korean medicine (Korean medicine) clinics face a structural gap between traditional pattern-based diagnosis (pattern identification) and modern personalized molecular medicine. We describe an integrated end-to-end workflow assembled across three affiliated entities — HAN PREDICT, Inc. (AI healthcare technology platform), Genesis_Medicine Lab (in silico natural-product drug discovery), and Recover Korean Medicine Clinic (skin-regeneration practice o…

26 detailed public records and 35+ including expansions/outlines; all records include external identifiers — Genesis_Medicine Lab · 2026

CInquiry
Collaboration Inquiry

For wet-lab validation and methodology collaboration,
collaboration proposals are welcome

Genesis_Medicine Lab's research is currently at the in silico stage. The next stage requires wet-lab validation by external labs, domain database collaboration, and joint computational methodology development.

— 01 · Wet-lab partner

Fibroblast · TGF-β · MMP-1 inhibition · ECM remodeling assay

Research-candidate validation can proceed with labs in skin-science R&D, Korean medicine research institutes, and related fields that run fibroblast, TGF-β, MMP-1 inhibition, or ECM assays.

— 02 · DB partner

herbal medicine, natural product DB, and computational annotation

Chemical structure annotation and traditional medicine cross-reference data can be organized with herbal medicine and natural product DB operators such as KMCRIC, NPAtlas, and COCONUT.

— 03 · Co-author / Method co-development

joint AI-methodology development with Boltz, MACE, Orb, SevenNet, UMA, and related tools

This work jointly validates operating conditions and limits of AI computational-chemistry tools such as Boltz, MACE, Orb, SevenNet, and UMA, then publishes records with external identifiers.

— Direct contact crazat7@gmail.com

Beyond these three areas, in silico external review and discussion inquiries are welcome. Replies are usually sent within 2-3 business days. Inquiries are limited to research activity, not medical advertising.