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Frontiers | DeepComplex: A Web Server of Predicting Protein Complex  Structures by Deep Learning Inter-chain Contact Prediction and  Distance-Based Modelling
Frontiers | DeepComplex: A Web Server of Predicting Protein Complex Structures by Deep Learning Inter-chain Contact Prediction and Distance-Based Modelling

An analysis and evaluation of the WeFold collaborative for protein  structure prediction and its pipelines in CASP11 and CASP12 | Scientific  Reports
An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12 | Scientific Reports

The trRosetta server for fast and accurate protein structure prediction |  Nature Protocols
The trRosetta server for fast and accurate protein structure prediction | Nature Protocols

1 Protein structure Prediction. 2 Copyright notice Many of the images in  this power point presentation are from Bioinformatics and Functional  Genomics. - ppt download
1 Protein structure Prediction. 2 Copyright notice Many of the images in this power point presentation are from Bioinformatics and Functional Genomics. - ppt download

Global versus Local Hubs in Human Protein–Protein Interaction Network |  Journal of Proteome Research
Global versus Local Hubs in Human Protein–Protein Interaction Network | Journal of Proteome Research

IJMS | Free Full-Text | Deep Learning-Based Advances in Protein Structure  Prediction | HTML
IJMS | Free Full-Text | Deep Learning-Based Advances in Protein Structure Prediction | HTML

FALCON2: a web server for high-quality prediction of protein tertiary  structures | BMC Bioinformatics | Full Text
FALCON2: a web server for high-quality prediction of protein tertiary structures | BMC Bioinformatics | Full Text

Top groups in CASP9 in terms of the number of models with the highest... |  Download Table
Top groups in CASP9 in terms of the number of models with the highest... | Download Table

Home - Prediction Center
Home - Prediction Center

TopModel: Template-Based Protein Structure Prediction at Low Sequence  Identity Using Top-Down Consensus and Deep Neural Networks | Journal of  Chemical Theory and Computation
TopModel: Template-Based Protein Structure Prediction at Low Sequence Identity Using Top-Down Consensus and Deep Neural Networks | Journal of Chemical Theory and Computation

Protein tertiary structure modeling driven by deep learning and contact  distance prediction in CASP13 | bioRxiv
Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13 | bioRxiv

Prediction Center's Data Guide
Prediction Center's Data Guide

ROPIUS0: A deep learning-based protocol for protein structure prediction  and model selection and its performance in CASP14 | bioRxiv
ROPIUS0: A deep learning-based protocol for protein structure prediction and model selection and its performance in CASP14 | bioRxiv

IJMS | Free Full-Text | Incorporating Machine Learning into Established  Bioinformatics Frameworks | HTML
IJMS | Free Full-Text | Incorporating Machine Learning into Established Bioinformatics Frameworks | HTML

The trRosetta server for fast and accurate protein structure prediction |  Nature Protocols
The trRosetta server for fast and accurate protein structure prediction | Nature Protocols

Critical assessment of methods of protein structure prediction (CASP)—Round  XII - Moult - 2018 - Proteins: Structure, Function, and Bioinformatics -  Wiley Online Library
Critical assessment of methods of protein structure prediction (CASP)—Round XII - Moult - 2018 - Proteins: Structure, Function, and Bioinformatics - Wiley Online Library

Topology evaluation of models for difficult targets in the 14th round of  the critical assessment of protein structure prediction (CASP14) - Kinch -  2021 - Proteins: Structure, Function, and Bioinformatics - Wiley Online  Library
Topology evaluation of models for difficult targets in the 14th round of the critical assessment of protein structure prediction (CASP14) - Kinch - 2021 - Proteins: Structure, Function, and Bioinformatics - Wiley Online Library

Fast and effective protein model refinement by deep graph neural networks |  bioRxiv
Fast and effective protein model refinement by deep graph neural networks | bioRxiv

Improving protein tertiary structure prediction by deep learning and  distance prediction in CASP14 - Liu - 2022 - Proteins: Structure, Function,  and Bioinformatics - Wiley Online Library
Improving protein tertiary structure prediction by deep learning and distance prediction in CASP14 - Liu - 2022 - Proteins: Structure, Function, and Bioinformatics - Wiley Online Library

CASP14
CASP14

Performance comparisons of server groups participating in the... | Download  Scientific Diagram
Performance comparisons of server groups participating in the... | Download Scientific Diagram

AlphaFold2 examples from CASP 14 - Proteopedia, life in 3D
AlphaFold2 examples from CASP 14 - Proteopedia, life in 3D

PDF) Protein structure prediction using multiple deep neural networks in  CASP13
PDF) Protein structure prediction using multiple deep neural networks in CASP13

Ranking of the groups registered for the CASP14 season in the tertiary... |  Download Scientific Diagram
Ranking of the groups registered for the CASP14 season in the tertiary... | Download Scientific Diagram

Assessment of protein model structure accuracy estimation in CASP13:  Challenges in the era of deep learning - Won - 2019 - Proteins: Structure,  Function, and Bioinformatics - Wiley Online Library
Assessment of protein model structure accuracy estimation in CASP13: Challenges in the era of deep learning - Won - 2019 - Proteins: Structure, Function, and Bioinformatics - Wiley Online Library

CASP9 results compared to those of previous CASP experiments. - Abstract -  Europe PMC
CASP9 results compared to those of previous CASP experiments. - Abstract - Europe PMC

Protein structure prediction - Wikipedia
Protein structure prediction - Wikipedia

CASP9 results compared to those of previous CASP experiments. - Abstract -  Europe PMC
CASP9 results compared to those of previous CASP experiments. - Abstract - Europe PMC

CASP14: what Google DeepMind's AlphaFold 2 really achieved, and what it  means for protein folding, biology and bioinformatics | Oxford Protein  Informatics Group
CASP14: what Google DeepMind's AlphaFold 2 really achieved, and what it means for protein folding, biology and bioinformatics | Oxford Protein Informatics Group