Critical Assessment of protein Structure Prediction - Wikipedia
Next Generation Protein Structure Predictions and Genetic Variant Interpretation - ScienceDirect
Assessment of protein model structure accuracy estimation in CASP14: Old and new challenges - Kwon - 2021 - Proteins: Structure, Function, and Bioinformatics - Wiley Online Library
CASP14: what Google DeepMind's AlphaFold 2 really achieved, and what it means for protein folding, biology and bioinformatics | Oxford Protein Informatics Group
The trRosetta server for fast and accurate protein structure prediction | Nature Protocols
Prediction Center's Data Guide
PDF) Protein structure prediction using multiple deep neural networks in CASP13
Performance comparisons of server groups participating in the... | Download Scientific Diagram
Global versus Local Hubs in Human Protein–Protein Interaction Network | Journal of Proteome Research
Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13 | bioRxiv
Critical assessment of methods of protein structure prediction (CASP)—Round XII - Moult - 2018 - Proteins: Structure, Function, and Bioinformatics - Wiley Online Library
1 Protein structure Prediction. 2 Copyright notice Many of the images in this power point presentation are from Bioinformatics and Functional Genomics. - ppt download
AlphaFold2 examples from CASP 14 - Proteopedia, life in 3D
An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12 | Scientific Reports
Top groups in CASP9 in terms of the number of models with the highest... | Download Table
Improving protein tertiary structure prediction by deep learning and distance prediction in CASP14 - Liu - 2022 - 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
Home - Prediction Center
Fast and effective protein model refinement by deep graph neural networks | bioRxiv
CASP9 results compared to those of previous CASP experiments. - Abstract - Europe PMC
TopModel: Template-Based Protein Structure Prediction at Low Sequence Identity Using Top-Down Consensus and Deep Neural Networks | Journal of Chemical Theory and Computation
Figure 6 from Progress from CASP 6 to CASP 7 | Semantic Scholar
ROPIUS0: A deep learning-based protocol for protein structure prediction and model selection and its performance in CASP14 | bioRxiv
IJMS | Free Full-Text | Deep Learning-Based Advances in Protein Structure Prediction | HTML
Frontiers | DeepComplex: A Web Server of Predicting Protein Complex Structures by Deep Learning Inter-chain Contact Prediction and Distance-Based Modelling
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
Critical assessment of methods of protein structure prediction-Round VII
IJMS | Free Full-Text | Incorporating Machine Learning into Established Bioinformatics Frameworks | HTML
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
Ranking of the groups registered for the CASP14 season in the tertiary... | Download Scientific Diagram
CASP14
