https://github.com/violet-sto/bridge-if
공식 코드Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
Papers with Code 아카이브
Protein Folding
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ykiiiiii/grade_if
공식 코드https://github.com/zrqiao/NeuralPLexer
공식 코드State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
https://github.com/zuricho/parallelfold
공식 코드https://github.com/AIMPer73/Geometric-Deep-Learning-Grids-Groups-Graphs-Geodesics-and-Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
https://github.com/BojanFaletic/IQ_net
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
https://github.com/BrianYang2013/JHU_AI_Journey
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
https://github.com/GuangfuWang/geometric-deep-learning-chinese-translation-scripts
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
https://github.com/binbinjiang/cvt-slr
Progressive Multi-Modality Learning for Inverse Protein Folding
https://github.com/braceal/DeepDriveMD
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding
https://github.com/cataai/posex
State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
https://github.com/elias-sundqvist/obsidian-annotator
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
https://github.com/j3xugit/RaptorX-Contact
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
https://github.com/lezhang7/msa-augmentor
Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation
https://github.com/m42-health/med42
Towards Expert-Level Medical Question Answering with Large Language Models
https://github.com/msultan/vde_metadynamics
https://github.com/patherlkd/Monte-Carlo-Lattice-Polymers
A Parallel Trajectory Swapping Wang - Landau Study Of The HP Protein Model
https://github.com/skywalk163/INFINITY
TorchMD: A deep learning framework for molecular simulations
https://github.com/subhobrata/Courses_ML_DL4
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.