王芳芳
姓 名：王芳芳 学 历：博士研究生
职 称：副教授 联系方式：E-mail: yu100288@163.com
个人简介
王芳芳，女，博士，副教授，硕士生导师，中共党员，山东费县人。2009年毕业于临沂大学生命科学学院生物技术专业，获工学学士学位；2012年毕业于西北大学生命科学学院微生物学专业，获理学硕士学位；2017年毕业于江南大学食品学院食品科学与工程专业，获工学博士学位。2017-至今，就职于临沂大学生命科学学院。主要从事食品营养方面的研究，致力于将生物信息学应用于食品领域，主要研究降压肽、抗菌肽和苦味肽等活性肽分子的结构与功能之间的关系，揭示肽的活性与氨基酸组成间关系及其作用机制。先后在Arabian Journal of Chemistry，Journal of Saudi Chemical Society，Chemico-biological interactions，International journal of molecular sciences，Journal of the Taiwan Institute of Chemical Engineers等期刊上发表学术论文三十余篇；主持国家自然科学基金青年基金1项；参与国家自然基金项目2项；指导大学生创新创业项目6项；指导学生在国外期刊上发表学术论文8篇；主持临沂大学学习评价改革项目1项；主持临沂大学“课程思政”示范项目1项；主持省级青年教学示范课程1项；主持临沂大学本科教学改革研究项目1项；2018年获得临沂大学“青年教学能手”称号；2022年获得临沂大学第二届教师教学创新大赛一等奖；2023年获得山东省第十届“超星杯”高校青年教师教学比赛一等奖。
奖励和荣誉
1. 2018年获得临沂大学教学能手称号
2. 2020年获得山东省第七届“超星杯”高校青年教师教学比赛优秀奖
3. 2023年获得山东省第十届“超星杯”高校青年教师教学比赛一等奖
4. 2022年获得临沂大学第二届教师教学创新大赛一等奖
教学工作
承担本科生《食品微生物学》《食品营养学》《蛋白质工程与酶工程》、《走进微生物世界》、《神奇的微生物世界》、《食品营养与食品安全》以及研究生《计算机辅助药物设计》课程
研究方向
1. 肽分子
主要通过计算机辅助、蛋白质组学、代谢组学等手段，揭示肽分子的结构-活性关系以及具体作用机制
2. 计算模拟
通过定量构效关系模型、药效团模型、分子对接和分子动力学模拟等技术，研究化合物结构-活性关系，以及配体-受体作用机制
科研项目
1. 国家自然科学基金青年基金，32001699，基于DNA为靶标的抗菌肽虚拟组合设计_筛选与抑菌机制研究，2021.01-2023.12，24万元，主持
2. 国家自然科学基金青年基金，31700301，小黑药中迈克尔反应受体分子的发现及降脂毒性作用研究，2018.01-2020.12，23万元，参加
3. 国家自然科学基金面上项目，31571841，酪氨酸氧化产物诱发机体氧化应激与组织损伤机制的研究，2016.01-2019.12，65万元，参加
教学项目
1. 主持校级学习评价改革项目一项，以食品微生物学为例，2019
2. 主持校级课程思政师范项目一项，2021
3. 主持省级青年教学示范课程一项，2023
4. 主持校级本科教学改革研究项目一项，2024
发表论文（*通讯作者）
[1] Yan Q, Wang FF*, Zhou B, et al. Hybrid 2D/3D-quantitative structure–activity relationship studies on the bioactivities and molecular mechanism of antibacterial peptides[J]. Amino Acids, 2024, 56(1): 16.
[2] Sun Y, Zhang Z, Wen M, Wang FF*, et al. Robust and predictive 3D-QSAR models for predicting the activities of novel oxadiazole derivatives as multifunctional anti-Alzheimer agents[J]. RSC advances, 2024, 14(41): 30230-30244.
[3] Jiang Y, Yang W, Wang FF*, et al. In silico studies of a novel scaffold of benzoxazole derivatives as anticancer agents by 3D-QSAR, molecular docking and molecular dynamics simulations. RSC advances, 2023, 13(22): 14808-14824.
[4] Wang FF*, Wen M, Zhou B. Exploring details about structure requirements based on antioxidant tripeptide derived from β-Lactoglobulin by in silico approaches[J]. Amino Acids, 2023, 2023(55): 1909-1922.
[5] Wang FF*, Yang W, Zhou B. Studies on the antibacterial activities and molecular mechanism of GyrB inhibitors by 3D-QSAR, molecular docking and molecular dynamics simulation[J]. Arabian Journal of Chemistry, 2022, 15(6): 103872.
[6] Wang FF*, Zhang K, Zhou B. Insight into the structural requirements of antimicrobial peptides by multiple validated 3D-QSAR approaches[J]. Molecular Simulation, 2022: 1-7.
[7] Wang FF*, Yang W, Liu H, et al. Identification of the structural features of quinazoline derivatives as EGFR inhibitors using 3D-QSAR modeling, molecular docking, molecular dynamics simulations and free energy calculations[J]. Journal of Biomolecular Structure and Dynamics, 2022, 40(21): 11125-11140.
[8] Wang FF*, Qiu Y, Zhou B. In silico exploration of hydroxylated polychlorinated biphenyls as estrogen receptor β ligands by 3D-QSAR, molecular docking and molecular dynamics simulations[J]. Journal of Biomolecular Structure and Dynamics, 2021, 40(15): 6798-6809.
[9] Wang FF*, Yang W, Li R, et al. Molecular description of pyrimidine-based inhibitors with activity against FAK combining 3D-QSAR analysis, molecular docking and molecular dynamics[J]. Arabian Journal of Chemistry, 2021, 14(6): 103144-103160.
[10] Wang FF*, Yang W, Li Z, et al. Studies on molecular mechanism between SHP2 and pyridine derivatives by 3D-QSAR, molecular docking and MD simulations[J]. Journal of Saudi Chemical Society, 2021, 25(11): 101346.
[11] Wang FF*, Yang W, Zhou B. Molecular-level understanding of the hTAS2R1 receptor-bitter tasting tetra-peptide binding: a structural biology study based on computational approaches[J]. New Journal of Chemistry, 2021, 45(45): 21369-21381.
[12] Tang S, Sun L, Wang FF*. Identification of highly active natural thyroid hormone receptor agonists by pharmacophore-based virtual screening[J]. Journal of Biomolecular Structure and Dynamics, 2020: 1-10.
[13] Chen Q, Wang FF*, Zhou B. Investigations of retinoic acid receptor-related orphan receptor-gamma t (RORγt) agonists: a combination of 3D-QSAR, molecular docking and molecular dynamics[J]. Journal of Biomolecular Structure and Dynamics, 2020: 1-14.
[14] Ding YY*, Wang FF*, Jiang Y G, et al. Dityrosine suppresses the cytoprotective action of thyroid hormone T3 via inhibiting thyroid hormone receptor-mediated transcriptional activation[J]. RSC Advances, 2020, 10(36): 21057-21070.
[15] Wang FF*, Zhou B. Investigation of angiotensin-I-converting enzyme (ACE) inhibitory tri-peptides: a combination of 3D-QSAR and molecular docking simulations[J]. RSC Advances, 2020, 10(59): 35811-35819.
[16] Wang FF*, Zhou B. Molecular dynamics and free energy studies on the Drosophila melanogaster and Leptinotarsa decemlineata ecdysone receptor complexed with agonists: Mechanism for binding and selectivity[J]. Journal of Biomolecular Structure and Dynamics, 2019, 37(10): 2678-2694.
[17] Wang FF*, Xing J. Classification of thyroid hormone receptor agonists and antagonists using statistical learning approaches[J]. Molecular diversity, 2019, 23(1): 85-92.
[18] Wang FF*, Yang W, Hu X*. Discovery of high affinity receptors for dityrosine through inverse virtual screening and docking and molecular dynamics[J]. International journal of molecular sciences, 2019, 20(1): 115.
[19] Wang FF*, Hu X, Zhou B. Structural characterization of plasmodial aminopeptidase: a combined molecular docking and QSAR-based in silico approaches[J]. Molecular diversity, 2019, 23(4): 965-984.
[20] Wang FF*, Zhou B. Insight into structural requirements of ACE inhibitory dipeptides: QSAR and molecular docking studies[J]. Molecular diversity, 2019: 1-13.
[21] Wang FF*, Zhou B. Toward the identification of a reliable 3D-QSAR model for the protein tyrosine phosphatase 1B inhibitors[J]. Journal of Molecular Structure, 2018, 1158: 75-87.
[22] Wang FF, Yang W, Shi YH, Le GW*. In silico study on β-aminoketone derivatives as thyroid hormone receptor inhibitors: a combined 3D-QSAR and molecular docking study[J]. Journal of Biomolecular Structure and Dynamics, 2016, 34(12): 2619-2631.
[23] Wang FF, Yang W, Shi YH, Le GW*. 3D-QSAR, Molecular docking and Molecular dynamics Studies of a series of RORγt inhibitors[J]. Journal of Biomolecular Structure & Dynamics, 2015, 33(9): 1929-1940.
[24] Wang FF, Yang W, Shi YH, Le GW*. Structural analysis of selective agonists of thyroid hormone receptor β using 3D-QSAR and molecular docking[J]. Journal of the Taiwan Institute of Chemical Engineers, 2015, 49: 1-18.
[25] Wang FF, Yang W, Shi YH, Le GW*. Molecular Determinants of Thyroid Hormone Receptor Selectivity in a Series of Phosphonic Acid Derivatives: 3D-QSAR Analysis and Molecular Docking[J]. Chemico-biological interactions, 2015, 240: 324-335.
[26] Wang FF, Wei Y, Shi YH, Le GW*. Structure-Based Approach for the Study of Thyroid Hormone Receptor Binding Affinity and Subtype Selectivity[J]. Journal of Biomolecular Structure & Dynamics, 2015, 34(10): 2251-2267.
获批专利
1. 一种便于拆卸的食品加工的搬运装置，实用新型专利，ZL202020767482.4，2021.02
2. 一种食品生产用污水过滤装置，国内实用新型专利，ZL202020764159.1，2021.02