Year |
Citation |
Score |
2020 |
Liu T, Wang Z. MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials. Bmc Bioinformatics. 21: 246. PMID 32631256 DOI: 10.1186/S12859-020-3383-3 |
0.32 |
|
2019 |
Luttrell J, Liu T, Zhang C, Wang Z. Predicting protein residue-residue contacts using random forests and deep networks. Bmc Bioinformatics. 20: 100. PMID 30871477 DOI: 10.1186/S12859-019-2627-6 |
0.322 |
|
2016 |
Wang J, Luttrell J, Zhang N, Khan S, Shi N, Wang MX, Kang JQ, Wang Z, Xu D. Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling. Advances in Experimental Medicine and Biology. 939: 39-61. PMID 27807743 DOI: 10.1007/978-981-10-1503-8_3 |
0.329 |
|
2016 |
Jiang Y, Oron TR, Clark WT, Bankapur AR, D'Andrea D, Lepore R, Funk CS, Kahanda I, Verspoor KM, Ben-Hur A, Koo da CE, Penfold-Brown D, Shasha D, Youngs N, Bonneau R, ... ... Wang Z, et al. An expanded evaluation of protein function prediction methods shows an improvement in accuracy. Genome Biology. 17: 184. PMID 27604469 DOI: 10.1186/S13059-016-1037-6 |
0.323 |
|
2016 |
Liu T, Wang Y, Eickholt J, Wang Z. Benchmarking Deep Networks for Predicting Residue-Specific Quality of Individual Protein Models in CASP11. Scientific Reports. 6: 19301. PMID 26763289 DOI: 10.1038/Srep19301 |
0.326 |
|
2014 |
Cao R, Wang Z, Wang Y, Cheng J. SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines. Bmc Bioinformatics. 15: 120. PMID 24776231 DOI: 10.1186/1471-2105-15-120 |
0.338 |
|
2014 |
Cao R, Wang Z, Cheng J. Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment. Bmc Structural Biology. 14: 13. PMID 24731387 DOI: 10.1186/1472-6807-14-13 |
0.311 |
|
2013 |
Wang Z, Cao R, Cheng J. Three-level prediction of protein function by combining profile-sequence search, profile-profile search, and domain co-occurrence networks. Bmc Bioinformatics. 14: S3. PMID 23514381 DOI: 10.1186/1471-2105-14-S3-S3 |
0.342 |
|
2013 |
Radivojac P, Clark WT, Oron TR, Schnoes AM, Wittkop T, Sokolov A, Graim K, Funk C, Verspoor K, Ben-Hur A, Pandey G, Yunes JM, Talwalkar AS, Repo S, Souza ML, ... ... Wang Z, et al. A large-scale evaluation of computational protein function prediction. Nature Methods. 10: 221-7. PMID 23353650 DOI: 10.1038/Nmeth.2340 |
0.331 |
|
2012 |
Cheng J, Eickholt J, Wang Z, Deng X. Recursive Protein Modeling: A Divide And Conquer Strategy For Protein Structure Prediction And Its Case Study In Casp9 Journal of Bioinformatics and Computational Biology. 10: 1242003-1242003. PMID 22809379 DOI: 10.1142/S0219720012420036 |
0.32 |
|
2012 |
Cheng J, Li J, Wang Z, Eickholt J, Deng X. The MULTICOM toolbox for protein structure prediction Bmc Bioinformatics. 13: 65-65. PMID 22545707 DOI: 10.1186/1471-2105-13-65 |
0.338 |
|
2012 |
Wang Z, Cheng J. An iterative self‐refining and self‐evaluating approach for protein model quality estimation Protein Science. 21: 142-151. PMID 22057943 DOI: 10.1002/Pro.764 |
0.329 |
|
2011 |
Wang Z, Eickholt J, Cheng J. APOLLO: A Quality Assessment Service for Single and Multiple Protein Models Bioinformatics. 27: 1715-1716. PMID 21546397 DOI: 10.1093/Bioinformatics/Btr268 |
0.308 |
|
2011 |
Wang Z, Zhang XC, Le MH, Xu D, Stacey G, Cheng J. A protein domain Co-occurrence network approach for predicting protein function and inferring species phylogeny Plos One. 6. PMID 21455299 DOI: 10.1371/Journal.Pone.0017906 |
0.323 |
|
2010 |
Lin GN, Wang Z, Xu D, Cheng J. SeqRate: sequence-based protein folding type classification and rates prediction Bmc Bioinformatics. 11: 1-9. PMID 20438647 DOI: 10.1186/1471-2105-11-S3-S1 |
0.312 |
|
2010 |
Wang Z, Eickholt J, Cheng J. MULTICOM: A Multi-Level Combination Approach to Protein Structure Prediction and its Assessments in CASP8 Bioinformatics. 26: 882-888. PMID 20150411 DOI: 10.1093/Bioinformatics/Btq058 |
0.343 |
|
2009 |
Tegge AN, Wang Z, Eickholt J, Cheng J. NNcon: improved protein contact map prediction using 2D-recursive neural networks Nucleic Acids Research. 37: 515-518. PMID 19420062 DOI: 10.1093/Nar/Gkp305 |
0.307 |
|
2009 |
Wang Z, Tegge AN, Cheng J. Evaluating the absolute quality of a single protein model using structural features and support vector machines. Proteins. 75: 638-647. PMID 19004001 DOI: 10.1002/Prot.22275 |
0.338 |
|
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