The OpenBioSynth Research Initiative is an independent, non-commercial computational research group dedicated to bridging frontier biomolecular foundation models (AlphaFold Database, AlphaGenome, UniProt, and ChEMBL) with reproducible agentic verification pipelines and open scientific synthesis.
Our dry-lab computational methodology integrates structural biophysics, regulatory genomics, and agentic verification.
Quantifying how local AlphaFold binding-pocket confidence (pLDDT) and conformational entropy (Sconf) govern induced-fit RMSD, lead potency (pIC50), and isoform selectivity across ChEMBL and PubChem.
Unifying 3D thermodynamic stability perturbations (|ΔΔG|) with pre-mRNA splicing disruption tracks (|ΔPSI| Sashimi profiles) to resolve clinical Variants of Uncertain Significance (VUS).
Developing open-source agentic skills, automated hypothesis-testing pipelines, and publication-ready visual synthesis to make complex multi-omics discoveries reproducible and transparent.
All manuscripts include complete Python simulation scripts, CSV benchmark datasets, and Zenodo/CERN archival records.
Systematic evaluation of 420 human targets across Kinases, GPCRs, Proteases, and Nuclear Receptors demonstrating that binding-pocket pLDDT strongly predicts apo–holo induced-fit deviation (ρ = -0.8741) and ChEMBL potency (r = 0.8195).
A three-modal variant pathogenicity synthesis combining phyloP conservation, AlphaFold |ΔΔG| folding stability, and |ΔPSI| exon-inclusion shifts across 1200 ClinVar/gnomAD variants, achieving an ensemble ROC-AUC of 0.9835.
Public institutional directory page for academic and research affiliation verification.
Leads the computational biology, structural bioinformatics, and open scientific synthesis group at OpenBioSynth Research Initiative. Research focuses on multi-database hypothesis testing across AlphaFold, AlphaGenome, UniProt, and ChEMBL, alongside automated verification workflows for open science.
All datasets and scripts generated by OpenBioSynth Lab are released under Creative Commons Attribution 4.0 (CC-BY 4.0).
Pocket pLDDT, apo–holo RMSD, conformational entropy, and median pIC50 across 420 human targets.
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Conservation, AlphaFold |ΔΔG|, and |ΔPSI| splice-disruption scores for 1,200 benchmark human variants.
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Deterministic Python scripts for reproducing all statistical tests (Mann–Whitney U, Spearman ρ, ROC-AUC) and 300-DPI figures.
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