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List of papers about Proteins Design using Deep Learning
Created
2021-11-25
301 commits to main branch, last one 6 days ago
Protein Graph Library
Created
2019-08-28
807 commits to master branch, last one 29 days ago
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Created
2020-11-21
864 commits to dev branch, last one 6 days ago
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
Created
2019-05-24
595 commits to master branch, last one 3 months ago
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
dna
docking
protein
peptides
chemistry
proteomics
bioinformatics
protein-design
protein-docking
molecular-biology
protein-structure
structural-biology
swarm-intelligence
bioinformatics-tool
molecular-structures
artificial-intelligence
protein-dna-interactions
structural-bioinformatics
glowworm-swarm-optimization
protein-protein-interaction
Created
2019-09-27
488 commits to master branch, last one 10 months ago
Versatile computational pipeline for processing protein structure data for deep learning applications.
Created
2023-02-15
1,309 commits to main branch, last one 9 months ago
Official repository for the ProteinGym benchmarks
Created
2022-12-15
93 commits to main branch, last one 19 days ago
The Rosetta Bio-macromolecule modeling package.
Created
2023-11-17
11,691 commits to main branch, last one 8 days ago
De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds
Created
2022-12-07
16 commits to main branch, last one 7 months ago
Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch
Created
2022-12-02
12 commits to main branch, last one about a year ago
Fitness landscape exploration sandbox for biological sequence design.
Created
2019-12-02
505 commits to master branch, last one 2 years ago
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Created
2021-05-13
178 commits to main branch, last one 3 months ago
RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.
Created
2022-05-06
24 commits to master branch, last one about a year ago
Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"
Created
2023-10-28
55 commits to master branch, last one 14 days ago
Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design
Created
2021-02-04
22 commits to main branch, last one 3 years ago
The first large protein language model trained follows structure instructions.
Created
2024-03-31
24 commits to main branch, last one 5 months ago
SaprotHub: Making Protein Modeling Accessible to All Biologists
Created
2024-05-02
437 commits to main branch, last one 9 days ago
Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
Created
2022-03-14
62 commits to main branch, last one 7 months ago
Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some additional improvements
Created
2022-12-27
2 commits to main branch, last one about a year ago
Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.
Created
2020-04-08
406 commits to master branch, last one 3 years ago
Protein Sequence Design with Deep Learning and Tooling like Monte Carlo Sampling and Analysis
Created
2021-11-13
348 commits to main branch, last one 2 months ago
Official repository for discrete Walk-Jump Sampling (dWJS)
Created
2023-05-26
35 commits to main branch, last one about a year ago
Geometric deep learning of protein–DNA binding specificity
Created
2023-04-20
110 commits to main branch, last one about a month ago
Official repository for discrete Walk-Jump Sampling (dWJS)
Created
2023-08-14
11 commits to main branch, last one 5 months ago
Learning to design protein-protein interactions with enhanced generalization (ICLR 2024)
Created
2023-10-05
27 commits to main branch, last one 28 days ago
A Text-guided Protein Design Framework, Nat Mach Intell 2024
Created
2023-02-05
5 commits to main branch, last one 4 months ago
Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models
Created
2024-02-13
23 commits to main branch, last one 11 days ago
This is the official repository of paper - GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation (ICML2024)
Created
2024-03-23
15 commits to main branch, last one 5 months ago
Deep learning framework for protein sequence design from a backbone scaffold that can leverage the molecular context including non-protein entities.
Created
2023-06-09
25 commits to main branch, last one 6 months ago
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
Created
2022-08-06
30 commits to master branch, last one about a year ago