Protein Flexibility and Multiple Docking in Ligand Docking and Virtual Screening to the BRAF (Type Ⅰ1/2) Inhibitors

被引:0
|
作者
王路 [1 ]
张艳敏 [1 ]
卢帅 [1 ]
唐伟方 [1 ]
陈亚东 [1 ]
陆涛 [1 ,2 ]
刘海春 [1 ]
机构
[1] School of Basic Science, China Pharmaceutical University
[2] State Key Laboratory of Natural Medicines, China Pharmaceutical University
基金
中国国家自然科学基金;
关键词
BRAF type Ⅰ 1/2 inhibitors; protein flexibility; multiple docking methods; pose prediction; virtual screening;
D O I
暂无
中图分类号
TQ460.1 [基础理论];
学科分类号
摘要
BRAF has been recognized as a promising target for cancer therapy. A number of crystal structures have been published. Molecular docking is one of the most effective techniques in the field of computer-aided drug design(CADD). Appropriate protein conformation and docking method are essential for the successful virtual screening experiments. One approach considering protein flexibility and multiple docking methods was proposed in this study. Six DFG-in/αC-helix-out crystal structures of BRAF, three docking programs(Glide, GOLD and Ligand Fit) and 12 scoring functions were applied for the best combination by judging from the results of pose prediction and retrospective virtual screening(VS). The most accurate results(mean RMSD of about 0.6 ?) of pose prediction were obtained with two complex structures(PDB: 3 C4 C and 3 SKC) using Glide SP. From the retrospective VS, the most active compounds were identified by using the complex structure of 3 SKC, indicated by a ROC/AUC score of 0.998 and an EF of 20.6 at 5% of the database screen with Glide-SP. On the whole, PDB 3 SKC could achieve a higher rate of correct reproduction, a better enrichment and more diverse compounds. A comparison of 3 SKC and the other X-ray crystal structures led to a rationale for the docking results. PDB 3 SKC could achieve a broad range of sulfonamide substitutions through an expanded hydrophobic pocket formed by a further shift of the αC-helix. Our study emphasized the necessity and significance of protein flexibility and scoring functions in both ligand docking and virtual screening.
引用
收藏
页码:1057 / 1070
页数:14
相关论文
共 50 条
  • [1] Protein Flexibility and Multiple Docking in Ligand Docking and Virtual Screening to the BRAF (Type I1/2) Inhibitors
    Wang Lu
    Zhang Yan-Min
    Lu Shuai
    Tang Wei-Fang
    Chen Ya-Dong
    Lu Tao
    Liu Hai-Chun
    CHINESE JOURNAL OF STRUCTURAL CHEMISTRY, 2018, 37 (07) : 1057 - 1070
  • [2] Protein flexibility in ligand docking and virtual screening to protein kinases
    Cavasotto, CN
    Abagyan, RA
    JOURNAL OF MOLECULAR BIOLOGY, 2004, 337 (01) : 209 - 225
  • [3] The Challenge of Considering Receptor Flexibility in Ligand Docking and Virtual Screening
    Cavasotto, Claudio N.
    Orry, Andrew J. W.
    Abagyan, Ruben A.
    CURRENT COMPUTER-AIDED DRUG DESIGN, 2005, 1 (04) : 423 - 440
  • [4] A method for including protein flexibility in protein-ligand docking: Improving tools for database mining and virtual screening
    Broughton, HB
    JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2000, 18 (03): : 247 - +
  • [5] Simultaneous docking and virtual screening against multiple targets: Application to protein kinase inhibitors
    Huang, Sheng-You
    Zou, Xiaoqin
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2007, 233 : 184 - 184
  • [6] Virtual Screening and Docking of Potential Protein Kinase B Inhibitors
    Ulgen, Sefika Kutlu
    Aladag, Seval
    Ozkirimli, Elif
    BIOPHYSICAL JOURNAL, 2012, 102 (03) : 60A - 61A
  • [7] Computational protein–ligand docking and virtual drug screening with the AutoDock suite
    Stefano Forli
    Ruth Huey
    Michael E Pique
    Michel F Sanner
    David S Goodsell
    Arthur J Olson
    Nature Protocols, 2016, 11 : 905 - 919
  • [8] Multiple ligand docking by Glide: implications for virtual second-site screening
    Vass, Marton
    Tarcsay, Akos
    Keseru, Gyoergy M.
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2012, 26 (07) : 821 - 834
  • [9] Multiple ligand docking by Glide: implications for virtual second-site screening
    Márton Vass
    Ákos Tarcsay
    György M. Keserű
    Journal of Computer-Aided Molecular Design, 2012, 26 : 821 - 834
  • [10] The protein flexibility in receptor-ligand docking simulations
    Frank Tristram
    Journal of Cheminformatics, 2 (Suppl 1)