Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (5)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Zeng, J.
Right arrow Articles by Treutlein, H. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Zeng, J.
Right arrow Articles by Treutlein, H. R.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Protein Engineering, Vol. 12, No. 6, 457-468, June 1999
© 1999 Oxford University Press

A method for computational combinatorial peptide design of inhibitors of Ras protein

Jun Zeng1,2 and Herbert R. Treutlein1,2,3

1 Ludwig Institute for Cancer Research and 3 Cooperative Research Centre for Cellular Growth Factors, P.O. Box 2008, Royal Melbourne Hospital, Parkville, VIC 3050, Australia

A computational combinatorial approach is proposed for the design of a peptide inhibitor of Ras protein. The procedure involves three steps. First, a `Multiple Copy Simultaneous Search' identifies the location of specific functional groups on the Ras surface. This search method allowed us to identify an important binding surface consisting of two ß strands (residues 5–8 and 52–56), in addition to the well known Ras effector loop and switch II region. The two ß strands had not previously been reported to be involved in Ras–Raf interaction. Second, after constructing the peptide inhibitor chain based on the location of N-methylacetamide (NMA) minima, functional groups are selected and connected to the main chain C{alpha} atom. This step generates a number of possible peptides with different sequences on the Ras surface. Third, potential inhibitors are designed based on a sequence alignment of the peptides generated in the second step. This computational approach reproduces the conserved pattern of hydrophobic, hydrophilic and charged amino acids identified from the Ras effectors. The advantages and limitations of this approach are discussed.

Keywords: computational combinatorial chemistry/inhibitor design/Ras protein

2 To whom correspondence should be addressed. E-mail: jun.zeng{at}ludwig.edu.au


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Protein Eng Des SelHome page
J. Zeng, T. Nheu, A. Zorzet, B. Catimel, E. Nice, H. Maruta, A. W.Burgess, and H. R.Treutlein
Design of inhibitors of Ras-Raf interaction using a computational combinatorial algorithm
Protein Eng. Des. Sel., January 1, 2001; 14(1): 39 - 45.
[Abstract] [Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.