Connie335

Connie335's Stars

• lightdock/lightdock

  Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

  Language:Python310126942

• dauparas/LigandMPNN

  Language:Python246133048

• FreyrS/dMaSIF

  Language:Jupyter Notebook19755045

• openvax/mhcflurry

  Peptide-MHC I binding affinity prediction

  Language:Python1951914558

• phbradley/alphafold_finetune

  Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions

  Language:Python14081520

• Noble-Lab/casanovo

  De Novo Mass Spectrometry Peptide Sequencing with a Transformer Model

  Language:Python117724139

• fhh2626/BFEE2

  binding free energy estimator 2

  Language:Python10875333

• PKUGaoGroup/DSDP

  Deep Site and Docking Pose (DSDP) is a blind docking strategy accelerated by GPUs, developed by Gao Group. For the site prediction part, several modifications are introduced to PUResNet program. The pose sampling part is similar as AutoDock Vina combined with a number of modifications.

  Language:C++522129

• BioGenies/peptide-prediction-list

  Collects software dedicated to predicting specific properties of peptides

  Language:Shell51518

• ccsb-scripps/ADCP

  AutoDock CrankPep for peptide and disordered protein docking

  Language:C43788

• ChakradharG/PeptideBERT

  Transformer Based Language Model for Peptide Property Prediction

  Language:Python353610

• ohuelab/Solubility_AfDesign

  Controlling the usage of hydrophobic residues on AfDesign for binder peptide design with AlphaFold hallucination protocol

  Language:Python31137

• Legana/ampir

  antimicrobial peptide prediction in R

  Language:R27365

• CSUBioGroup/GraphscoreDTA

  A novel graph neural network strategy with the Vina distance optimization terms to predict protein-ligand binding affinity

  Language:Python25179

• ohuelab/ColabDesign-cyclic-binder

  Language:Python25003

• abelavit/PepCNN

  Language:Python21362

• ohuelab/ColabFold-cycpep-dock

  Making Protein folding accessible to all!

  Language:Jupyter Notebook18030

• charlesxu90/helm-gpt

  HELM-GPT: de novo macrocyclic peptide design using generative pre-trained transformer

  Language:Jupyter Notebook15434

• tommyhuangthu/EvoEF

  a fast and accurate physical energy function for predicting protein stability and protein-protein affinity changes upon amino-acid mutations

  Language:C++11155

• briandasantini/cPEPmatch

  Tool to design cyclic peptides that mimic proteins and target their binding partners.

  Language:Jupyter Notebook8101

• jule-c/ET-Tox

  ET-Tox

  Language:Python7102

• Willde-Peng/sci-spider

  批量下载sci

  Language:HTML4101

• abdullateefv/PeptideGPT

  GPT powered plugin & fine tuned model for natural language interaction with in-silico drug simulators and prediction of drug properties

  Language:Jupyter Notebook3101

• FrankWanger/ML_Peptide

  Deployed Model for Article: Machine learning predicts peptide stability in simulated gastrointestinal fluids

  Language:Jupyter Notebook3123

• attilaimre99/GraphCPP

  A state-of-the-art graph neural network for the prediction of cell-penetrating peptides.

  Language:Jupyter Notebook2100

• proteomicsunitcrg/peptide-stability

  Language:CSS20

• mikewzp/dMasif

  Colab differentiable Masif Experiment Code for ZY

  Language:Jupyter Notebook1100

• nifets/dMaSIF-ligand

  This is a Julia implementation of the dMaSIF geometric deep learning model for predicting binding affinity over protein surfaces.

  Language:Jupyter Notebook1100