Residential College | false |
Status | 已發表Published |
Modeling analysis of potential target of dolastatin 16 by computational virtual screening | |
Liang,Ting Ting1,2; Zhao,Qi3; He,Shan4; Mu,Fang Zhou5; Deng,Wei1; Han,Bing Nan2 | |
2018 | |
Source Publication | Chemical and Pharmaceutical Bulletin |
ISSN | 0009-2363 |
Volume | 66Issue:6Pages:602-607 |
Abstract | Dolastatin 16 is a cyclic depsipeptide isolated from the marine invertebrates and cyanobacterium Lyngbya majuscula, however, its bioactivity has been a historical question. In this study, peptidyl–prolyl cis–trans isomerase FKBP1A (FKBP12) was predicted as a potential target of dolastatin 16 via PharmMapper as well as verified using chemical–protein interactome (CPI) and molecular docking. FKBP1A has been previously identified as a target for the natural polyketide FK506 (tacrolimus), an immune suppressor inhibiting the rejection of organ transplantation in clinical use. The comparison study via the reverse pharmacophore screening and molecular docking of dolastatin 16 and FK506 indicated the good consistency of analysis with the computational approach. As the results, the lowest binding energy of dolastatin 16–FKBP1A complex was −7.4kcal/mol and FK506–FKBP1A complex was −8.7kcal/mol. The ligand dolastatin 16 formed three hydrogen bonds vs. four of FK506, as well as seven hydrophobic interactions vs. six of FK506 within the active site residues. These functional residues are highly repetitive and consistent with previously reported active site of model of FK506–FKBP1A complex, and the pharmacophore model was shown feasibly matching with the molecular feature of dolastatin 16. |
Keyword | Dolastatin 16 Fkbp1a Molecular Docking Pharmmapper |
DOI | 10.1248/cpb.c17-00966 |
URL | View the original |
Language | 英語English |
WOS ID | WOS:000434002900003 |
Scopus ID | 2-s2.0-85048042682 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Corresponding Author | Deng,Wei |
Affiliation | 1.School of Chemical and Environmental Engineering,Shanghai Institute of Technology,Shanghai,201418,China 2.Department of Development Technology of Marine Resources,College of Life Sciences,Zhejiang Sci-Tech University,Zhejiang,310018,China 3.Faculty of Health Sciences,University of Macau,999078,Macao 4.Li Dak Sum Yip Yio Chin Kenneth Li Marine Biopharmaceutical Research Center,Ningbo University,Ningbo,315211,China 5.Pharmaceutical Sciences Division,School of Pharmacy,University of Wisconsin-Madison,Wisconsin,53706,United States |
Recommended Citation GB/T 7714 | Liang,Ting Ting,Zhao,Qi,He,Shan,et al. Modeling analysis of potential target of dolastatin 16 by computational virtual screening[J]. Chemical and Pharmaceutical Bulletin, 2018, 66(6), 602-607. |
APA | Liang,Ting Ting., Zhao,Qi., He,Shan., Mu,Fang Zhou., Deng,Wei., & Han,Bing Nan (2018). Modeling analysis of potential target of dolastatin 16 by computational virtual screening. Chemical and Pharmaceutical Bulletin, 66(6), 602-607. |
MLA | Liang,Ting Ting,et al."Modeling analysis of potential target of dolastatin 16 by computational virtual screening".Chemical and Pharmaceutical Bulletin 66.6(2018):602-607. |
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