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ISSEC: inferring contacts among protein secondary structure elements using deep object detection 期刊论文
BMC BIOINFORMATICS, 2020, 卷号: 21, 期号: 1, 页码: 503
Authors:  Zhang, Qi;  Zhu, Jianwei;  Ju, Fusong;  Kong, Lupeng;  Sun, Shiwei;  Zheng, Wei-Mou;  Bu, Dongbo
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HELIX-HELIX INTERACTIONS  INVERSE COVARIANCE ESTIMATION  RESIDUE CONTACTS  BETA-SHEETS  PREDICTION  MEMBRANE  
Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo sampling 期刊论文
BMC BIOINFORMATICS, 2019, 卷号: 20, 页码: 135
Authors:  Wang, C;  Wei, Y;  Zhang, HC;  Kong, LP;  Sun, SW;  Zheng, WM;  Bu, DB
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TERTIARY STRUCTURES  FRAGMENTS  
Correction to: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning (vol 20, 537, 2019) 期刊论文
BMC BIOINFORMATICS, 2019, 卷号: 20, 期号: 1, 页码: 616
Authors:  Zhang, Haicang;  Zhang, Qi;  Ju, Fusong;  Zhu, Jianwei;  Gao, Yujuan;  Xie, Ziwei;  Deng, Minghua;  Sun, Shiwei;  Zheng, Wei-Mou;  Bu, Dongbo
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Predicting protein inter-residue contacts using composite likelihood maximization and deep learning 期刊论文
BMC BIOINFORMATICS, 2019, 卷号: 20, 期号: 1, 页码: 537
Authors:  Zhang, Haicang;  Zhang, Qi;  Ju, Fusong;  Zhu, Jianwei;  Gao, Yujuan;  Xie, Ziwei;  Deng, Minghua;  Sun, Shiwei;  Zheng, Wei-Mou;  Bu, Dongbo
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COUPLING ANALYSIS  SEQUENCE  EVOLUTIONARY  INFORMATION  NETWORKS  RANK  
Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contacts 期刊论文
BIOINFORMATICS, 2017, 卷号: 33, 期号: 23, 页码: 3749-3757
Authors:  Zhu, JW;  Zhang, HC;  Li, SC;  Wang, C;  Kong, LP;  Sun, SW;  Zheng, WM;  Bu, DB;  Bu, DB (reprint author), Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China.;  Zheng, WM (reprint author), Chinese Acad Sci, Inst Theoret Phys, Beijing 100190, Peoples R China.
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Improving prediction of burial state of residues by exploiting correlation among residues 期刊论文
BMC BIOINFORMATICS, 2017, 卷号: 18, 页码: 70
Authors:  Gong, HE;  Zhang, HC;  Zhu, JW;  Wang, C;  Sun, SW;  Zheng, WM;  Bu, DB;  Bu, DB (reprint author), Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Proc, Beijing 100190, Peoples R China.;  Zheng, WM (reprint author), Chinese Acad Sci, Inst Theoret Phys, Beijing 100190, Peoples R China.
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Protein Structure  Burial States Of Residue  Conditional Random Field  Residue Correlation  
NeBcon: protein contact map prediction using neural network training coupled with naiive Bayes classifiers 期刊论文
BIOINFORMATICS, 2017, 卷号: 33, 期号: 15, 页码: 2296-2306
Authors:  He, BJ;  Mortuza, SM;  Wang, YT;  Shen, HB;  Zhang, Y;  Zhang, Y (reprint author), Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 48109 USA.;  Zhang, Y (reprint author), Univ Michigan, Dept Biol Chem, Ann Arbor, MI 48109 USA.
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FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition 期刊论文
BIOINFORMATICS, 2016, 卷号: 32, 期号: 3, 页码: 462-464
Authors:  Wang, C;  Zhang, HC;  Zheng, WM;  Xu, D;  Zhu, JW;  Wang, B;  Ning, K;  Sun, SW;  Li, SC;  Bu, DB;  Bu, DB (reprint author), Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China.;  Li, SC (reprint author), City Univ Hong Kong, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China.
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Conditional entropy in variation-adjusted windows detects selection signatures associated with expression quantitative trait loci (eQTLs) 期刊论文
BMC GENOMICS, 2015, 卷号: 16, 期号: 0, 页码: S8
Authors:  Handelman, SK;  Seweryn, M;  Smith, RM;  Hartmann, K;  Wang, DX;  Pietrzak, M;  Johnson, AD;  Kloczkowski, A;  Sadee, W;  Handelman, SK (reprint author), Ohio State Univ, Coll Med, Ctr Pharmacogen, Graves Hall,330 W 10th Ave, Columbus, OH 43210 USA.
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Accurate disulfide-bonding network predictions improve ab initio structure prediction of cysteine-rich proteins 期刊论文
BIOINFORMATICS, 2015, 卷号: 31, 期号: 23, 页码: 3773-3781
Authors:  Yang, J;  He, BJ;  Jang, R;  Zhang, Y;  Shen, HB;  Zhang, Y (reprint author), Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 48109 USA.
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