research stage
Current public records center on computational analysis and literature review. They are separated from clinical trials, animal experiments, and patient-application data.
RECOVER's computational and literature ledger for scar-surface research
The figures below show the volume of public research records. They do not represent patient outcomes or equipment accuracy.
PUBLIC RECORD VOLUME
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.
research candidate compared computationally
computational analysis stage
An example research question at the computational-analysis stage.
Genesis Medicine Lab, where literature, images, and computational research are organized under one standard.
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.
Current public records center on computational analysis and literature review. They are separated from clinical trials, animal experiments, and patient-application data.
In clinic, this research is used as background and a standard for viewing scars.
Some research code and records are shared for external review.
All language is limited to explaining the stage and source of research activity.
RECOVER Gangnam's recovery-planning records, capture and analysis tools, and computational research serve distinct roles.
A clinical site operating the skin-recovery observation and record system. 5F, Buil Tower, Yeoksam-dong, Gangnam · opening date September 7, 2026.
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.
Genesis_Medicine Lab
We organize research questions related to skin recovery through computational analysis.
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 ↗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.
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.
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).
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.
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%.
Among 26 detailed public records and 35+ expanded records including paper_B v1 and paper #19 v2 outline, these candidate groups are prioritized for external review and collaboration inquiry. All candidates are treated as computational-analysis-stage research candidates.
We examine conformer-energy agreement among three neural network potentials and coarse bound/unbound classification for MMP-1 Zn²⁺ active-site structure panels, without asserting compound identities or potency. Supporting technical reports (the OMol25 paradox, Boltz-2 steering, and de novo Zn design) document methodological limits and operating conditions externally.
Ayurvedic and East Asian herbal medicine, Jadan (Vidanga, Embelia ribes) embelin is re-examined through AI scaffold hopping as a scar-research candidate. This is a computational-analysis record before clinical application.
A chromanol-series multi-target binder organized through six cycles of Bayesian active learning (R9-R14), with a robustness benchmark across 14 skin-disease targets.
We disclose reproducibility numbers, not just the number of tools installed
These are cross-validation records that test whether conclusions hold when the same candidates and targets are filtered through multiple tools.
For the structure panel, σ_E collapses from 14.27 to 0.0069 kcal/mol after xtb-OPT pre-relaxation (2,039×). Boltz-2 confidence-axis outliers are reviewed separately.
Three-NNP conformer-energy cross-agreement is Pearson r=0.9142 [0.826, 0.971] (LOO ±0.0104; the lowest of the three pairs). MACE-OMol25 and Orb-v3 correlate at r=0.9992, disclosed as an effectively two-independent-engine comparison.
We use the PoseBusters v2 93.9% pass rate as a structural plausibility check and record cofold-steering protocol failure modes separately.
Across RFdiffusion 3 → LigandMPNN → FlowPacker → BoltzGen, paper_C reports LigandMPNN Zn²⁺ recovery of 95.3% versus 46.4% for ProtMPNN as a key reproducibility measure.
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.
scar regeneration
pigmentation
hair loss
acne / photoaging
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.
Boltz-2
protein-candidate binding structure calculation
OpenMM 8
molecular dynamics simulation (~10-200 ns)
ADMET-AI
41 drug-likeness related metrics
RFdiffusion3 · LigandMPNN
Zn recovery 77.5% vs ProtMPNN 40.6% · FlowPacker/BoltzGen validation
NNP 5-stack
OMol25/OMat energy-landscape cross-validation
xTB / GFN2
semi-empirical quantum chemistry (HOMO/LUMO)
RDKit
cheminformatics and SMILES handling
PoseBusters v2
93.9% pass rate used as a structural plausibility criterion
Open Targets 26.03
6-source independent corroboration
NP-MS · TCM stack
TCMSP · BATMAN-TCM 2.0 and herbal-medicine scaffold cross-references
Dancik PBPK
four-layer skin absorption model
Frontier Stack
cross-validation results are prioritized over install logs
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.
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.
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.
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.
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.
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.
— * cross-program · record spanning two programs
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
26 detailed public records and 35+ including expansions/outlines; all records include external identifiers — Genesis_Medicine Lab · 2026
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.
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.
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.
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.
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.
RECOVER CONNECTION
Continue from the research background to the director, the clinic's documentation method, and public clinical evidence.