教师简介

本人从事计算生物及生物信息学领域的研究,包括应用机器学习算法解决生物学中的难题,利用统计方法解释生物学中的有趣现象,重点研究蛋白质的结构及功能。至今已共发表SCI期刊论文31其中中科院一区论文6,包括发表在美国科学院院报PNAS (影响因子: 9.412),生物学领域的Top期刊Nucleic Acids Research (影响因子: 11.5013), Nature 出版集团旗下的期刊Cell Death & Differentiation(影响因子: 10.717),Science 子刊Science SignalingTop期刊,影响因子: 7.359)等上的科研论文。根据web of science数据,论文共被引近千次单篇最高引用次数为150余次。作为课题负责人主持国家自然科学基金青年基金和面上项目各1项;主持天津大学自主创新基金1项;作为骨干成员参与完成863项目1项;参与完成国家应急管理项目1项。

教育经历
  • 2010-9 — 2014-11
    加拿大阿尔伯塔大学
    软件工程与智能系统
    研究生(博士)毕业
  • 2005-9 — 2008-6
    湘潭大学
    应用数学
    研究生(硕士)毕业
  • 2001-9 — 2005-6
    衡阳师范学院
    数学与应用数学
    本科(学士)
工作经历
  • 2021-4 — 至今
     数学与交叉科学研究中心  山东大学 
  • 2015-1 — 2015-3
     应用数学中心  天津大学 
  • 2018-9 — 2019-9
     生物化学系  美国华盛顿大学 
研究方向
论文

(1) Protein contact prediction using metagenome sequence data and residual neural networks.Bioinformatics.2020,36 (1):41-48

(2) APOD: accurate sequence-based predictor of disordered flexible linkers.Bioinformatics.2020,36 (S2):754-761

(3) Improved protein structure prediction using predicted inter-residue orientations.PNAS.2020,117 (3):1496-1503

(4) Codon selection reduces GC content bias in nucleic acids encoding for intrinsically disordered proteins.Cellular & Molecular Life Science.2020,77 (1):149-160

(5) Computational Prediction of MoRFs, Short Disorder-to-order Transitioning Protein Binding Regions.Computational & Structural Biotechnology Journal.2019,17 :454-462

(6) mTM-align: a server for fast protein structure database search and multiple protein structure alignment.Nucleic Acids Research.2018,46 :W380-W386

(7) COACH-D: improved protein-ligand binding site prediction with refined ligand-binding poses through molecular docking Nucleic.Nucleic Acids Research.2018,46 :W438-W442

(8) Improving sequence-based prediction of protein-peptide binding residues by introducing intrinsic disorder and a consensus method.Journal of Chemical Information & Modeling.2018,58 :1459-1468

(9) CoABind: a novel algorithm for Coenzyme A (CoA)- and CoA derivatives-binding.Bioinformatics.2018,34 :2598-2604

(10) Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in a thousand proteomes from all domains of life.Cellular & Molecular Life Science.2015,72 (1):137-151

(11) High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder.Nucleic Acids Research.2015,43 (18):e121

(12) A creature with a hundred waggly tails: intrinsically disordered proteins in the ribosome.Cellular & Molecular Life Science.2014,71 (8):1477-1504

(13) Interplay between PDIA6 and miR-322 controls adaptive response to disrupted endoplasmic reticulum calcium homeostasis.Science Signaling.2014,7 (329):ra54

(14) Resilience of death: intrinsic disorder in proteins involved in the programmed cell death.Cell Death & Differentiation.2013,20 :1257-1267

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