Template-based protein structure prediction in CASP11 and retrospect of I-TASSER in the last decade
出版年份 2015 全文链接
标题
Template-based protein structure prediction in CASP11 and retrospect of I-TASSER in the last decade
作者
关键词
-
出版物
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume 84, Issue -, Pages 233-246
出版商
Wiley
发表日期
2015-09-08
DOI
10.1002/prot.24918
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。- The I-TASSER Suite: protein structure and function prediction
- (2015) Jianyi Yang et al. NATURE METHODS
- ThreaDom: extracting protein domain boundary information from multiple threading alignments
- (2013) Zhidong Xue et al. BIOINFORMATICS
- Toward optimal fragment generations forab initioprotein structure assembly
- (2013) Dong Xu et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- CASP10 results compared to those of previous CASP experiments
- (2013) Andriy Kryshtafovych et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Interplay of I-TASSER and QUARK for template-based and ab initio protein structure prediction in CASP10
- (2013) Yang Zhang PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Protein structure modeling for CASP10 by multiple layers of global optimization
- (2013) Keehyoung Joo et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- A comparative assessment and analysis of 20 representative sequence alignment methods for protein structure prediction
- (2013) Renxiang Yan et al. Scientific Reports
- GOAP: A Generalized Orientation-Dependent, All-Atom Statistical Potential for Protein Structure Prediction
- (2011) Hongyi Zhou et al. BIOPHYSICAL JOURNAL
- Structure of Burkholderia cepacia UDP-Glucose Dehydrogenase (UGD) BceC and Role of Tyr10 in Final Hydrolysis of UGD Thioester Intermediate
- (2011) J. Rocha et al. JOURNAL OF BACTERIOLOGY
- Automated protein structure modeling in CASP9 by I-TASSER pipeline combined with QUARK-based ab initio folding and FG-MD-based structure refinement
- (2011) Dong Xu et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Atomic-Level Protein Structure Refinement Using Fragment-Guided Molecular Dynamics Conformation Sampling
- (2011) Jian Zhang et al. STRUCTURE
- How significant is a protein structure similarity with TM-score = 0.5?
- (2010) Jinrui Xu et al. BIOINFORMATICS
- I-TASSER: a unified platform for automated protein structure and function prediction
- (2010) Ambrish Roy et al. Nature Protocols
- A Novel Side-Chain Orientation Dependent Potential Derived from Random-Walk Reference State for Protein Fold Selection and Structure Prediction
- (2010) Jian Zhang et al. PLoS One
- MolProbity: all-atom structure validation for macromolecular crystallography
- (2009) Vincent B. Chen et al. ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY
- Prediction of global and local quality of CASP8 models by MULTICOM series
- (2009) Jianlin Cheng et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- The other 90% of the protein: Assessment beyond the Cαs for CASP8 template-based and high-accuracy models
- (2009) Daniel A. Keedy et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Improved prediction of protein side-chain conformations with SCWRL4
- (2009) Georgii G. Krivov et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- REMO: A new protocol to refine full atomic protein models from C-alpha traces by optimizing hydrogen-bonding networks
- (2009) Yunqi Li et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- I-TASSER: Fully automated protein structure prediction in CASP8
- (2009) Yang Zhang PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- I-TASSER server for protein 3D structure prediction
- (2008) Yang Zhang BMC BIOINFORMATICS
- MUSTER: Improving protein sequence profile-profile alignments by using multiple sources of structure information
- (2008) Sitao Wu et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now