研究方向,科研項目,論文列表,
研究方向
1.結構生物信息學
2.計算生物學
3.計算機輔助藥物設
科研項目
計近年主持的主要科研項目：
1. 基於結構生物信息學探索“自結合肽”作為一類新型藥物靶標的分子機制，國家自然科學基金（面上項目）(no. 31671361)
2. “自結合肽”的結構生物信息分析及相關新方法研究，國家自然科學基金（青年基金）(no. 31200993)
3. 理性設計c-Src激酶SH3域拮抗肽及其在早期非小細胞肺癌治療中的套用，四川省科技計畫項目(no. 2015JY0252)
4. 採用結構生物信息學方法設計、合成、測試及構效研究具有抗腫瘤活性的c-Src蛋白SH3域拮抗肽，教育部博士點基金(no. 20120185120025)
5. 基於生物信息學技術的廣譜陽離子抗菌肽分子設計和構效研究，中央高校基本科研業務費專項資金(no. ZYGX2012J111)
論文列表
1. Zhou P*, Zhang S, Wang C, Wang Y, Yang C, Huang J. Structural modeling of HLA-B*1502/peptide/carbamazepine/T-cell receptor complex architecture: implication for the molecular mechanism of carbamazepine-induced. Stevens-Johnson syndrome/toxic epidermal necrolysis. J. Biomol. Struct. Dyn. 2016, 34: 1806–1817.
2. Yang C, Zhang S, Bai Z, Hou S, Wu D, Huang J, Zhou P*. A two-step binding mechanism for the self-binding peptide recognition of target domains. Mol. BioSyst. 2016, 12: 1201–1213.
3. Yang C, Zhang S, He P, Wang C, Huang J, Zhou P*. Self-binding peptides: folding or binding? J. Chem. Inf. Model. 2015, 55: 329−342.
4. Yang C, Wang C, Zhang S, Huang J*, Zhou P*. Structural and energetic insights into the intermolecular interaction among human leukocyte antigens, clinical hypersensitive drugs and antigenic peptides. Mol. Simul. 2015, 41: 741−751.
5. Zhou P*, Wang C, Ren Y, Yang C, Tian F*. Computational peptidology: a new and promising approach to therapeutic peptide design. Curr. Med. Chem. 2013, 20: 1985−1996. (ESI highly cited paper)
6. Zhou P*, Yang C, Ren Y, Wang C, Tian F*. What are the ideal properties for functional food peptides with antihypertensive effect? A computational peptidology approach. Food Chem. 2013, 141: 2967−2973.
7. Zhou P*, Wang C, Tian F, Ren Y, Yang C, Huang J*. Biomacromolecular quantitative structure-activity relationship (BioQSAR): a proof-of-concept study on the modeling, prediction and interpretation of protein-protein binding affinity，J. Comput. Aid. Mol. Des. 2013, 27: 67−78.
8. Zhou P*, Huang J, Tian F*. Specific noncovalent interactions at protein–ligand interface: implications for rational drug design. Curr. Med. Chem. 2012, 19: 226−238.
