Knowledge-based modeling of a bacterial dichloromethane dehalogenase

被引:0
|
作者
Marsh, A
Ferguson, DM
机构
[1] UNIV MINNESOTA,DEPT MED CHEM,MINNEAPOLIS,MN 55455
[2] UNIV MINNESOTA,MINNESOTA SUPERCOMP INST,MINNEAPOLIS,MN 55455
来源
PROTEINS-STRUCTURE FUNCTION AND GENETICS | 1997年 / 28卷 / 02期
关键词
homology modeling; theta class; glutathione S-transferase; DM11;
D O I
10.1002/(SICI)1097-0134(199706)28:2<217::AID-PROT10>3.0.CO;2-L
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
A three-dimensional structural model of the dichloromethane dehalogenase (DCMD) from Methylophilus sp. DM11 is constructed based on sequence similarities to the glutathione S-transferases (GSTs). To maximize sequence identity and minimize gaps in the alignment, a hybrid approach is used that takes advantage of the increased homology found between DM11 and domain I of the sheep blowfly theta class GST (residues 1-79) and domain II of the human alpha class GST (residues 81-222). The resulting structure has C alpha root mean square deviations of 1.16 Angstrom in domain I and 1.83 Angstrom in domain II from the template GSTs, which compare well to those seen in other GST interclass comparisons. The model is further applied to explore the structural basis for substrate binding and catalysis. A conserved network of hydrogen bonds is described that binds glutathione to the G site, placing the thiol group in a suitable location for nucleophilic attack of dichloromethane. A mechanism is proposed that involves activation through a hydrogen bond interaction between Ser12 and glutathione, similar to that found in the theta-GSTs. The model also demonstrates how aromatic residues in the hydrophobic site (H site) could play a role in promoting catalysis: His116 and Trp117 are ideally situated to accept a growing negative charge on a chlorine of dichloromethane, stabilizing displacement. This scheme is consistent with experimental results of single-point mutations and comparisons with other GST structures and mechanisms. (C) 1997 Wiley-Liss, Inc.
引用
收藏
页码:217 / 226
页数:10
相关论文
共 50 条
  • [1] Knowledge-based modeling of a bacterial dichloromethane dehalogenase
    Marsh, A
    Ferguson, DM
    BIOPHYSICAL JOURNAL, 1998, 74 (02) : A282 - A282
  • [2] Effects of bacterial host and dichloromethane dehalogenase on the competitiveness of methylotrophic bacteria growing with dichloromethane
    Gisi, D
    Willi, L
    Traber, H
    Leisinger, T
    Vuilleumier, S
    APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 1998, 64 (04) : 1194 - 1202
  • [3] 3-DIMENSIONAL STRUCTURE OF A BACTERIAL DICHLOROMETHANE DEHALOGENASE
    MARSH, AD
    FERGUSON, DM
    ELLIS, LB
    WACKETT, LP
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1995, 210 : 62 - COMP
  • [4] KNOWLEDGE-BASED PROTEIN MODELING
    JOHNSON, MS
    SRINIVASAN, N
    SOWDHAMINI, R
    BLUNDELL, TL
    CRITICAL REVIEWS IN BIOCHEMISTRY AND MOLECULAR BIOLOGY, 1994, 29 (01) : 1 - 68
  • [5] Expression and Characterization of Dichloromethane Dehalogenase for Dichloromethane Degradation
    Wu, Yicheng
    Yu, Chen
    Fu, Haiyan
    Yao, Huichao
    PROCEEDINGS OF THE 2022 12TH INTERNATIONAL CONFERENCE ON ENVIRONMENT SCIENCE AND ENGINEERING, ICESE 2022, 2023, : 50 - 56
  • [6] A KNOWLEDGE-BASED APPROACH TO CIM MODELING
    CHAUDHURY, A
    RAO, HR
    KAPARTHI, S
    JOURNAL OF INTELLIGENT MANUFACTURING, 1991, 2 (04) : 223 - 234
  • [7] Causal modeling of knowledge-based economy
    Chen, Chih-Kai
    MANAGEMENT DECISION, 2008, 46 (3-4) : 501 - 514
  • [8] KNOWLEDGE-BASED MODELING OF TURBINE NOZZLES
    SAXENA, M
    IRANI, RK
    MECHANICAL ENGINEERING, 1993, 115 (07) : 84 - 90
  • [9] Trends in knowledge-based landscape modeling
    Mandl, Peter
    MITTEILUNGEN DER OSTERREICHISCHEN GEOGRAPHISCHEN GESELLSCHAFT, 2007, 149 : 377 - 378
  • [10] Knowledge-based process modeling with WIP
    Kurzok, A
    Pahl, MH
    Schulz, A
    CHEMICAL ENGINEERING & TECHNOLOGY, 2002, 25 (05) : 485 - 488