标题
Analysis of distance‐based protein structure prediction by deep learning in CASP13
作者
关键词
-
出版物
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2019-08-31
DOI
10.1002/prot.25810
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- LOMETS2: improved meta-threading server for fold-recognition and structure-based function annotation for distant-homology proteins
- (2019) Wei Zheng et al. NUCLEIC ACIDS RESEARCH
- Distance-based protein folding powered by deep learning
- (2019) Jinbo Xu PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features
- (2018) David T Jones et al. BIOINFORMATICS
- Protein threading using residue co-variation and deep learning
- (2018) Jianwei Zhu et al. BIOINFORMATICS
- ComplexContact: a web server for inter-protein contact prediction using deep learning
- (2018) Hong Zeng et al. NUCLEIC ACIDS RESEARCH
- Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks
- (2018) Yang Liu et al. Cell Systems
- PredMP: a web server for de novo prediction and visualization of membrane proteins
- (2018) Sheng Wang et al. BIOINFORMATICS
- Template-based and free modeling of I-TASSER and QUARK pipelines using predicted contact maps in CASP12
- (2017) Chengxin Zhang et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Continuous Automated Model EvaluatiOn (CAMEO) complementing the critical assessment of structure prediction in CASP12
- (2017) Jürgen Haas et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Analysis of deep learning methods for blind protein contact prediction in CASP12
- (2017) Sheng Wang et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Protein structure prediction using Rosetta in CASP12
- (2017) Sergey Ovchinnikov et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
- (2017) Sheng Wang et al. PLoS Computational Biology
- Folding Membrane Proteins by Deep Transfer Learning
- (2017) Sheng Wang et al. Cell Systems
- RaptorX-Property: a web server for protein structure property prediction
- (2016) Sheng Wang et al. NUCLEIC ACIDS RESEARCH
- GDFuzz3D: a method for protein 3D structure reconstruction from contact maps, based on a non-Euclidean distance function
- (2015) Michal J. Pietal et al. 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
- MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins
- (2014) David T. Jones et al. BIOINFORMATICS
- Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks
- (2014) Predrag Kukic et al. BMC BIOINFORMATICS
- Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners
- (2014) Carlo Baldassi et al. PLoS One
- MRFalign: Protein Homology Detection through Alignment of Markov Random Fields
- (2014) Jianzhu Ma et al. PLoS Computational Biology
- A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networks
- (2013) Jesse Eickholt et al. BMC BIOINFORMATICS
- High-Resolution Comparative Modeling with RosettaCM
- (2013) Yifan Song et al. STRUCTURE
- Protein structure alignment beyond spatial proximity
- (2013) Sheng Wang et al. Scientific Reports
- A conditional neural fields model for protein threading
- (2012) Jianzhu Ma et al. BIOINFORMATICS
- Predicting protein residue–residue contacts using deep networks and boosting
- (2012) Jesse Eickholt et al. BIOINFORMATICS
- A Position-Specific Distance-Dependent Statistical Potential for Protein Structure and Functional Study
- (2012) Feng Zhao et al. STRUCTURE
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- (2011) Michael Remmert et al. NATURE METHODS
- Protein 3D Structure Computed from Evolutionary Sequence Variation
- (2011) Debora S. Marks et al. PLoS One
- Hidden Markov model speed heuristic and iterative HMM search procedure
- (2010) L Steven Johnson et al. BMC BIOINFORMATICS
- Learning generative models for protein fold families
- (2010) Sivaraman Balakrishnan et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Disentangling Direct from Indirect Co-Evolution of Residues in Protein Alignments
- (2010) Lukas Burger et al. PLoS Computational Biology
- 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
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started