Protein oligomer modeling guided by predicted interchain contacts in CASP14
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Protein oligomer modeling guided by predicted interchain contacts in
CASP14
Authors
Keywords
-
Journal
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-07-29
DOI
10.1002/prot.26197
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improved protein structure refinement guided by deep learning based accuracy estimation
- (2021) Naozumi Hiranuma et al. Nature Communications
- Improved protein structure prediction using potentials from deep learning
- (2020) Andrew W. Senior et al. NATURE
- Improved protein structure prediction using predicted interresidue orientations
- (2020) Jianyi Yang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Flexible Backbone Assembly and Refinement of Symmetrical Homomeric Complexes
- (2019) Shourya S. Roy Burman et al. STRUCTURE
- HH-suite3 for fast remote homology detection and deep protein annotation
- (2019) Martin Steinegger et al. BMC BIOINFORMATICS
- Distance-based protein folding powered by deep learning
- (2019) Jinbo Xu PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Assessment of protein assembly prediction in CASP13
- (2019) Dmytro Guzenko et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Prediction of protein oligomer structures using GALAXY in CASP13
- (2019) Minkyung Baek et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints
- (2019) Joe G. Greener et al. Nature Communications
- Efficient flexible backbone protein–protein docking for challenging targets
- (2018) Nicholas A Marze et al. BIOINFORMATICS
- ComplexContact: a web server for inter-protein contact prediction using deep learning
- (2018) Hong Zeng et al. NUCLEIC ACIDS RESEARCH
- UniProt: a worldwide hub of protein knowledge
- (2018) NUCLEIC ACIDS RESEARCH
- GalaxyHomomer: a web server for protein homo-oligomer structure prediction from a monomer sequence or structure
- (2017) Minkyung Baek et al. NUCLEIC ACIDS RESEARCH
- Assessment of protein assembly prediction in CASP12
- (2017) Aleix Lafita et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Modeling protein quaternary structure of homo- and hetero-oligomers beyond binary interactions by homology
- (2017) Martino Bertoni et al. Scientific Reports
- Predicting Protein–Protein Interactions from the Molecular to the Proteome Level
- (2016) Ozlem Keskin et al. CHEMICAL REVIEWS
- Simultaneous Optimization of Biomolecular Energy Functions on Features from Small Molecules and Macromolecules
- (2016) Hahnbeom Park et al. Journal of Chemical Theory and Computation
- Uniclust databases of clustered and deeply annotated protein sequences and alignments
- (2016) Milot Mirdita et al. NUCLEIC ACIDS RESEARCH
- IMG/M: integrated genome and metagenome comparative data analysis system
- (2016) I-Min A. Chen et al. NUCLEIC ACIDS RESEARCH
- Improved de novo structure prediction in CASP11 by incorporating coevolution information into Rosetta
- (2016) Sergey Ovchinnikov et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- ZDOCK server: interactive docking prediction of protein-protein complexes and symmetric multimers
- (2014) B. G. Pierce et al. BIOINFORMATICS
- Robust and accurate prediction of residue–residue interactions across protein interfaces using evolutionary information
- (2014) Sergey Ovchinnikov et al. eLife
- Sequence co-evolution gives 3D contacts and structures of protein complexes
- (2014) Thomas A Hopf et al. eLife
- lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests
- (2013) Valerio Mariani et al. BIOINFORMATICS
- Assessing the utility of coevolution-based residue-residue contact predictions in a sequence- and structure-rich era
- (2013) H. Kamisetty et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Relaxation of backbone bond geometry improves protein energy landscape modeling
- (2013) Patrick Conway et al. PROTEIN SCIENCE
- High-Resolution Comparative Modeling with RosettaCM
- (2013) Yifan Song et al. STRUCTURE
- PyRosetta: a script-based interface for implementing molecular modeling algorithms using Rosetta
- (2010) S. Chaudhury et al. BIOINFORMATICS
- Learning generative models for protein fold families
- (2010) Sivaraman Balakrishnan et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- MM-align: a quick algorithm for aligning multiple-chain protein complex structures using iterative dynamic programming
- (2009) Srayanta Mukherjee et al. NUCLEIC ACIDS RESEARCH
- Simultaneous prediction of protein folding and docking at high resolution
- (2009) Rhiju Das et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now