Papers with Code 아카이브

Protein Structure Prediction

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하위 태스크: 2
평가표: 4
보존된 평가 기록: 20

Image credit: FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/jonathanking/sidechainnet

공식 코드

SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

https://github.com/jw-chae/plddt_predictor

공식 코드

pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2

https://github.com/kantamasuki/rgdm

공식 코드

Generative diffusion model with inverse renormalization group flows

https://github.com/karma211225/karmaloop

공식 코드

Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoop

https://github.com/magiccircuit/msa-augmentor

공식 코드

Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation

https://github.com/malhotra-sidharth/protein-structure-prediction

공식 코드

Secondary Protein Structure Prediction Using Neural Networks

https://github.com/maris205/genome_book

공식 코드

Human Genome Book: Words, Sentences and Paragraphs

https://github.com/matteofigliuzzi/bmDCA

공식 코드

How pairwise coevolutionary models capture the collective residue variability in proteins

https://github.com/microsoft/foldingdiff

공식 코드

Protein structure generation via folding diffusion

https://github.com/mindspore-ai/mindscience/tree/master/MindSPONGE/applications/MEGAProtein

공식 코드

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction

https://github.com/mzweilin/EvadeML-Zoo

공식 코드

MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction

https://github.com/paperswithcode/galai

공식 코드

Galactica: A Large Language Model for Science

https://github.com/pengshuang/PTQ4Protein

공식 코드

Exploring Post-Training Quantization of Protein Language Models

https://github.com/prescient-design/ibex

공식 코드

Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins

https://github.com/rutgerswiselab/ExplainableFold

공식 코드

ExplainableFold: Understanding AlphaFold Prediction with Explainable AI

https://github.com/shaayaan1/MAS2HP_V01/blob/main/V01

공식 코드

MAS2HP: A Multi Agent System to Predict Protein Structure in 2D HP model

https://github.com/smiles724/GGNN_Meets_PLM

공식 코드

Integration of Pre-trained Protein Language Models into Geometric Deep Learning Networks

https://github.com/supercomputing-system-ai-lab/megafold

공식 코드

MegaFold: System-Level Optimizations for Accelerating Protein Structure Prediction Models

https://github.com/thglab/idpforge

공식 코드

Deep Learning of Proteins with Local and Global Regions of Disorder

https://github.com/thudm/msagpt

공식 코드

MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training

https://github.com/vincentx15/atom2d

공식 코드

AtomSurf : Surface Representation for Learning on Protein Structures

https://github.com/vincentx15/atomsurf

공식 코드

AtomSurf : Surface Representation for Learning on Protein Structures

https://github.com/wang-cr/pdb-struct

공식 코드

PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design

https://github.com/yijia-xiao/protein-llm-survey

공식 코드

Protein Large Language Models: A Comprehensive Survey

https://github.com/zaixizhang/FoldMark

공식 코드

FoldMark: Protecting Protein Generative Models with Watermarking

https://github.com/zrqiao/NeuralPLexer

공식 코드

State-specific protein-ligand complex structure prediction with a multi-scale deep generative model

https://github.com/2023-MindSpore-1/ms-code-141

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction

https://github.com/EricAlcaide/MiniFold

ProteinNet: a standardized data set for machine learning of protein structure

https://github.com/LucaAngioloni/ProteinSecondaryStructure-CNN

Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction

https://github.com/QData/DeepLearning4-ProteinSequenceProcessing

MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction

https://github.com/QData/DeepProtein

MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction

https://github.com/adamzenith/mapie

Distribution-Free, Risk-Controlling Prediction Sets

https://github.com/aim-uofa/fadiff

SE(3) diffusion model with application to protein backbone generation

https://github.com/brsarah20/Alphafold2

Iterative SE(3)-Transformers

https://github.com/cataai/posex

State-specific protein-ligand complex structure prediction with a multi-scale deep generative model

https://github.com/drexelai/protein-nets

Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.