Improved Protein Structure Prediction Using a New Multi‐Scale Network and Homologous Templates
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Improved Protein Structure Prediction Using a New Multi‐Scale Network and Homologous Templates
Authors
Keywords
-
Journal
Advanced Science
Volume 8, Issue 24, Pages 2102592
Publisher
Wiley
Online
2021-11-01
DOI
10.1002/advs.202102592
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction
- (2021) Fusong Ju et al. Nature Communications
- Deep template-based protein structure prediction
- (2021) Fandi Wu et al. PLoS Computational Biology
- Highly accurate protein structure prediction with AlphaFold
- (2021) John Jumper et al. NATURE
- Accurate prediction of protein structures and interactions using a three-track neural network
- (2021) Minkyung Baek et al. SCIENCE
- Improved protein structure prediction using potentials from deep learning
- (2020) Andrew W. Senior et al. NATURE
- SciPy 1.0: fundamental algorithms for scientific computing in Python
- (2020) Pauli Virtanen et al. NATURE METHODS
- 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
- Array programming with NumPy
- (2020) Charles R. Harris et al. NATURE
- IntFOLD: an integrated web resource for high performance protein structure and function prediction
- (2019) Liam J McGuffin et al. NUCLEIC ACIDS RESEARCH
- Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13
- (2019) Jie Hou et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Protein contact prediction using metagenome sequence data and residual neural networks
- (2019) Qi Wu et al. BIOINFORMATICS
- Deep‐learning contact‐map guided protein structure prediction in CASP13
- (2019) Wei Zheng et al. PROTEINS-STRUCTURE FUNCTION AND 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
- Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints
- (2019) Joe G. Greener et al. Nature Communications
- Detecting distant-homology protein structures by aligning deep neural-network based contact maps
- (2019) Wei Zheng et al. PLoS Computational Biology
- CATHER: a novel threading algorithm with predicted contacts
- (2019) Zongyang Du et al. BIOINFORMATICS
- Res2Net: A New Multi-Scale Backbone Architecture
- (2019) Shang-Hua Gao et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- SWISS-MODEL: homology modelling of protein structures and complexes
- (2018) Andrew Waterhouse et al. NUCLEIC ACIDS RESEARCH
- The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
- (2017) Rebecca F. Alford et al. Journal of Chemical Theory and Computation
- Analysis of deep learning methods for blind protein contact prediction in CASP12
- (2017) Sheng Wang et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Protein structure determination using metagenome sequence data
- (2017) Sergey Ovchinnikov et al. SCIENCE
- Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
- (2017) Sheng Wang et al. PLoS Computational Biology
- FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition
- (2015) Chao Wang et al. BIOINFORMATICS
- The I-TASSER Suite: protein structure and function prediction
- (2015) Jianyi Yang et al. NATURE METHODS
- The Phyre2 web portal for protein modeling, prediction and analysis
- (2015) Lawrence A Kelley et al. Nature Protocols
- All-atom 3D structure prediction of transmembrane β-barrel proteins from sequences
- (2015) Sikander Hayat et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- New encouraging developments in contact prediction: Assessment of the CASP11 results
- (2015) Bohdan Monastyrskyy et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- CONFOLD: Residue-residue contact-guidedab initioprotein folding
- (2015) Badri Adhikari et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- CCMpred—fast and precise prediction of protein residue–residue contacts from correlated mutations
- (2014) Stefan Seemayer et al. BIOINFORMATICS
- Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models
- (2013) Magnus Ekeberg et al. PHYSICAL REVIEW E
- 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
- Evaluation of residue-residue contact prediction in CASP10
- (2013) Bohdan Monastyrskyy et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Three-Dimensional Structures of Membrane Proteins from Genomic Sequencing
- (2012) Thomas A. Hopf et al. CELL
- Template-based protein structure modeling using the RaptorX web server
- (2012) Morten Källberg et al. Nature Protocols
- Accurate de novo structure prediction of large transmembrane protein domains using fragment-assembly and correlated mutation analysis
- (2012) T. Nugent et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Ab initio protein structure assembly using continuous structure fragments and optimized knowledge-based force field
- (2012) Dong Xu et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments
- (2011) David T. Jones et al. BIOINFORMATICS
- Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates
- (2011) Y. Yang et al. BIOINFORMATICS
- Protein 3D Structure Computed from Evolutionary Sequence Variation
- (2011) Debora S. Marks et al. PLoS One
- PyRosetta: a script-based interface for implementing molecular modeling algorithms using Rosetta
- (2010) S. Chaudhury et al. BIOINFORMATICS
- How significant is a protein structure similarity with TM-score = 0.5?
- (2010) Jinrui Xu et al. BIOINFORMATICS
- Identification of direct residue contacts in protein-protein interaction by message passing
- (2008) M. Weigt et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started