Literature DB >> 18436442

Progress and challenges in protein structure prediction.

Yang Zhang1.   

Abstract

Depending on whether similar structures are found in the PDB library, the protein structure prediction can be categorized into template-based modeling and free modeling. Although threading is an efficient tool to detect the structural analogs, the advancements in methodology development have come to a steady state. Encouraging progress is observed in structure refinement which aims at drawing template structures closer to the native; this has been mainly driven by the use of multiple structure templates and the development of hybrid knowledge-based and physics-based force fields. For free modeling, exciting examples have been witnessed in folding small proteins to atomic resolutions. However, predicting structures for proteins larger than 150 residues still remains a challenge, with bottlenecks from both force field and conformational search.

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Year:  2008        PMID: 18436442      PMCID: PMC2680823          DOI: 10.1016/j.sbi.2008.02.004

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  51 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Molecular dynamics in the endgame of protein structure prediction.

Authors:  M R Lee; J Tsai; D Baker; P A Kollman
Journal:  J Mol Biol       Date:  2001-10-19       Impact factor: 5.469

3.  Simulation of folding of a small alpha-helical protein in atomistic detail using worldwide-distributed computing.

Authors:  Bojan Zagrovic; Christopher D Snow; Michael R Shirts; Vijay S Pande
Journal:  J Mol Biol       Date:  2002-11-08       Impact factor: 5.469

4.  Assessment of homology-based predictions in CASP5.

Authors:  Anna Tramontano; Veronica Morea
Journal:  Proteins       Date:  2003

5.  3D-Jury: a simple approach to improve protein structure predictions.

Authors:  Krzysztof Ginalski; Arne Elofsson; Daniel Fischer; Leszek Rychlewski
Journal:  Bioinformatics       Date:  2003-05-22       Impact factor: 6.937

6.  COMPASS: a tool for comparison of multiple protein alignments with assessment of statistical significance.

Authors:  Ruslan Sadreyev; Nick Grishin
Journal:  J Mol Biol       Date:  2003-02-07       Impact factor: 5.469

7.  ORFeus: Detection of distant homology using sequence profiles and predicted secondary structure.

Authors:  Krzysztof Ginalski; Jakub Pas; Lucjan S Wyrwicz; Marcin von Grotthuss; Janusz M Bujnicki; Leszek Rychlewski
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

8.  TOUCHSTONE II: a new approach to ab initio protein structure prediction.

Authors:  Yang Zhang; Andrzej Kolinski; Jeffrey Skolnick
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

9.  3D-SHOTGUN: a novel, cooperative, fold-recognition meta-predictor.

Authors:  Daniel Fischer
Journal:  Proteins       Date:  2003-05-15

10.  MUSTER: Improving protein sequence profile-profile alignments by using multiple sources of structure information.

Authors:  Sitao Wu; Yang Zhang
Journal:  Proteins       Date:  2008-08
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  174 in total

1.  Structure prediction and binding sites analysis of curcin protein of Jatropha curcas using computational approaches.

Authors:  Mugdha Srivastava; Shishir K Gupta; P C Abhilash; Nandita Singh
Journal:  J Mol Model       Date:  2011-12-07       Impact factor: 1.810

2.  Template-based protein structure modeling using TASSER(VMT.).

Authors:  Hongyi Zhou; Jeffrey Skolnick
Journal:  Proteins       Date:  2011-11-22

3.  An iterative self-refining and self-evaluating approach for protein model quality estimation.

Authors:  Zheng Wang; Jianlin Cheng
Journal:  Protein Sci       Date:  2011-11-23       Impact factor: 6.725

4.  Retrieving backbone string neighbors provides insights into structural modeling of membrane proteins.

Authors:  Jiang-Ming Sun; Tong-Hua Li; Pei-Sheng Cong; Sheng-Nan Tang; Wen-Wei Xiong
Journal:  Mol Cell Proteomics       Date:  2012-03-13       Impact factor: 5.911

5.  Union of geometric constraint-based simulations with molecular dynamics for protein structure prediction.

Authors:  Tyler J Glembo; S Banu Ozkan
Journal:  Biophys J       Date:  2010-03-17       Impact factor: 4.033

6.  Nanostructure and molecular mechanics of spider dragline silk protein assemblies.

Authors:  Sinan Keten; Markus J Buehler
Journal:  J R Soc Interface       Date:  2010-06-02       Impact factor: 4.118

7.  Integration of QUARK and I-TASSER for Ab Initio Protein Structure Prediction in CASP11.

Authors:  Wenxuan Zhang; Jianyi Yang; Baoji He; Sara Elizabeth Walker; Hongjiu Zhang; Brandon Govindarajoo; Jouko Virtanen; Zhidong Xue; Hong-Bin Shen; Yang Zhang
Journal:  Proteins       Date:  2015-09-23

8.  3DRobot: automated generation of diverse and well-packed protein structure decoys.

Authors:  Haiyou Deng; Ya Jia; Yang Zhang
Journal:  Bioinformatics       Date:  2015-10-14       Impact factor: 6.937

9.  Predicting 3D Structure, Flexibility, and Stability of RNA Hairpins in Monovalent and Divalent Ion Solutions.

Authors:  Ya-Zhou Shi; Lei Jin; Feng-Hua Wang; Xiao-Long Zhu; Zhi-Jie Tan
Journal:  Biophys J       Date:  2015-12-15       Impact factor: 4.033

10.  Accurate disulfide-bonding network predictions improve ab initio structure prediction of cysteine-rich proteins.

Authors:  Jing Yang; Bao-Ji He; Richard Jang; Yang Zhang; Hong-Bin Shen
Journal:  Bioinformatics       Date:  2015-08-07       Impact factor: 6.937

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