twidatalla

Stanford Biophysics PhD student in the Brian Hie Lab interested in deep-learning guided molecular design

StanfordSan Francisco

Pinned Repositories

PPIformer
Learning to design protein-protein interactions with enhanced generalization (ICLR 2024)
Language:Jupyter Notebook47 5 64
protein-dpo
Aligning protein generative models with experimental fitness
Language:Python79 3 67
pref-opt-for-mols
Supporting code for "Preference Optimization for Molecular Language Models"
Language:Python6 3 12
ThermoMPNN
GNN trained to predict changes in thermodynamic stability for protein point mutants
Language:Python135 0 2323
alphafold3-pytorch
Implementation of Alphafold 3 from Google Deepmind in Pytorch
Language:Python1.3k 47 56158
AbPROP
Language:Python4 5 01
Tranception
Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"
Language:Python143 5 2725
AbMelt
Language:Python0 0 00
ATTENtide
Implementation of HyperAttentionDTI for Peptide-MHC Binding
Language:Python0 0 00
FA-ProteinMPNN
ProteinMPNN Experiment
Language:Jupyter Notebook0 0 00

twidatalla's Repositories

twidatalla/AbMelt
Language:Python0 0 00
twidatalla/ATTENtide
Implementation of HyperAttentionDTI for Peptide-MHC Binding
Language:Python0 0 00
twidatalla/FA-ProteinMPNN
ProteinMPNN Experiment
Language:Jupyter Notebook0 0 00