Highlights
- Pro
Stars
de novo design of high affinity biological binders
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
ProCEDiS: a state-annotation-free framework to generate compact, diverse protein conformational ensembles via MSA recombination, AlphaFold2, and short MD.
Code for designing biased protein states
functions to plot text with <highlighted substrings> in matplotlib.
Package for calculation of small angle scattering models using OpenCL.
GerNA-Bind: Geometric-enhanced RNA-ligand Binding Specificity Prediction with Deep Learning
Official repository of "ODesign: A World Model for Biomolecular Interaction Design"
UCBShift is a program for predicting chemical shifts for backbone atoms and β-carbon of a protein in solution. It utilizes a machine learning module that makes predictions from features extracted f…
Reduce - tool for adding and correcting hydrogens in PDB files
Official Repository for ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility
CalvinGe / NepoIP
Forked from Yang-Laboratory/NepoIPAn open-source neural network for performing accurate ML/MM MD simulation with electrostatic embedding.
NequIP is a code for building E(3)-equivariant interatomic potentials
Efficient manipulation of protein structures in Python
PeptoneBench: evaluating protein ensembles across the order-disorder continuum
IDP-o: Intrinsically Disordered Protein Ensemble Generator
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
From cryo-EM density map to atomic structure
The code, training and test data for PLMDA-PPI, a mechanism-aware deep learning framework for protein-protein interaction prediction.