FlexPose, a framework for AI-based flexible modeling of protein-ligand binding pose.
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Updated
Dec 27, 2023 - Python
FlexPose, a framework for AI-based flexible modeling of protein-ligand binding pose.
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2021)
drugdesign.org source of truth
A Python tool for automated identification and topological analysis (QTAIM) of Critical Points at the interface between molecular fragments.
Identifies relevant ligands in the PDB
Open-sourced docking for small molecule to protein target. It prioritizes enhanced user-friendliness and accessibility.
Public repository of the PDBe ligand environment component
Template-based protein-ligand pose prediction with web interface.
Two R shiny apps developed for analyzing differential scanning fluorimetry (DSF) data. One for binding, and one for stability
R shiny app to analyse microscale thermophoresis (MST) data
Performs large-scale ligand identification, curation and extraction from structures in the Protein Data Bank.
Computational workflows supporting Sobral et al., JCIM (2026). Includes AutoDock Vina docking setup, GROMACS 2024.4 MD parameter files, and Python analysis scripts for PSMA dual-target radioconjugates.
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