Molecular dynamics to enhance structure-based virtual screening on cathepsin B

被引:22
|
作者
Ogrizek, Mitja [1 ]
Turk, Samo [2 ]
Lesnik, Samo [1 ]
Sosic, Izidor [2 ]
Hodoscek, Milan [1 ]
Mirkovic, Bojana [2 ]
Kos, Janko [2 ]
Janezic, Dusanka [3 ]
Gobec, Stanislav [2 ]
Konc, Janez [1 ,3 ]
机构
[1] Natl Inst Chem, Ljubljana 1000, Slovenia
[2] Univ Ljubljana, Fac Pharm, Ljubljana 1000, Slovenia
[3] Univ Primorska, Fac Math Nat Sci & Informat Technol, Koper 6000, Slovenia
关键词
Cathepsin B; Molecular dynamics; Molecular docking; Protein flexibility; GENERAL FORCE-FIELD; CHARMM; BENCHMARKING; NITROXOLINE; AUTOMATION; PARAMETERS;
D O I
10.1007/s10822-015-9847-2
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Molecular dynamics (MD) and molecular docking are commonly used to study molecular interactions in drug discovery. Most docking approaches consider proteins as rigid, which can decrease the accuracy of predicted docked poses. Therefore MD simulations can be used prior to docking to add flexibility to proteins. We evaluated the contribution of using MD together with docking in a docking study on human cathepsin B, a well-studied protein involved in numerous pathological processes. Using CHARMM biomolecular simulation program and AutoDock Vina molecular docking program, we found, that short MD simulations significantly improved molecular docking. Our results, expressed with the area under the receiver operating characteristic curves, show an increase in discriminatory power i.e. the ability to discriminate active from inactive compounds of molecular docking, when docking is performed to selected snapshots from MD simulations.
引用
收藏
页码:707 / 712
页数:6
相关论文
共 50 条
  • [21] Challenges and advances in structure-based virtual screening
    Yuriev, Elizabeth
    FUTURE MEDICINAL CHEMISTRY, 2014, 6 (01) : 5 - 7
  • [22] Structure-Based Virtual Screening: Successes and Pitfalls
    Lima, Adenilson G.
    Penteado, Andre B.
    de Jesus, Jullyane G.
    de Paula, Vanessa J. R.
    Ferraz, Witor R.
    Trossini, Gustavo H. G.
    JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY, 2024, 35 (10)
  • [23] Combined strategies in structure-based virtual screening
    Wang, Zhe
    Sun, Huiyong
    Shen, Chao
    Hu, Xueping
    Gao, Junbo
    Li, Dan
    Cao, Dongsheng
    Hou, Tingjun
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2020, 22 (06) : 3149 - 3159
  • [24] MolDock Applied to Structure-Based Virtual Screening
    De Azevedo, Walter Filgueira, Jr.
    CURRENT DRUG TARGETS, 2010, 11 (03) : 327 - 334
  • [25] Drug repositioning by structure-based virtual screening
    Ma, Dik-Lung
    Chan, Daniel Shiu-Hin
    Leung, Chung-Hang
    CHEMICAL SOCIETY REVIEWS, 2013, 42 (05) : 2130 - 2141
  • [26] Structure-based virtual screening and molecular dynamics simulations for detecting novel candidates as FGFR1 inhibitors
    Coban, Gunes
    JOURNAL OF RESEARCH IN PHARMACY, 2021, 25 (03): : 318 - 330
  • [27] Structure-based virtual screening and molecular docking for the identification of potential biofilm inhibitors
    Praveen, Kumar
    Archana, Mohanan G.
    RESEARCH JOURNAL OF BIOTECHNOLOGY, 2020, 15 (04): : 107 - 115
  • [28] Combination of structure-based virtual screening, molecular docking and molecular dynamics approaches for the discovery of anti-prion fibril flavonoids
    Jheng, Cheng-Ping
    Lee, Cheng-, I
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2023, 9
  • [29] Identification of novel monoamine oxidase B inhibitors by structure-based virtual screening
    Geldenhuys, Werner J.
    Darvesh, Altaf S.
    Funk, Max O.
    Van der Schyf, Cornelis J.
    Carroll, Richard T.
    BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2010, 20 (17) : 5295 - 5298
  • [30] Discovery of a novel protein kinase B inhibitor by structure-based virtual screening
    Medina-Franco, Jose L.
    Giulianotti, Marc A.
    Yu, Yongping
    Shen, Liangliang
    Yao, Libo
    Singh, Narender
    BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2009, 19 (16) : 4634 - 4638