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Announcement - protein docking program GRAMM

Mon Aug 12 17:33:22 EST 1996

GRAMM v1.03

This note is to announce the availability of GRAMM (Global RAnge 
Molecular Matching) software. GRAMM is a program for protein docking. To 
predict the structure of a complex, it requires only the atomic 
coordinates of the two molecules (no information about the binding sites 
is needed). The program performs an exhaustive 6-dimensional search 
through the relative translations and rotations of the molecules. The 
molecular pairs may be: two proteins, a protein and a smaller compound, 
two transmembrane (TM) helices, etc. GRAMM may be used for high-
resolution molecules, for inaccurate structures (where only the gross 
structural features are known), in cases of large conformational 
changes, etc.

The Global Range Molecular Matching (GRAMM) methodology is an empirical 
approach to smoothing the intermolecular energy function by changing the 
range of the atom-atom potentials. The technique allows to locate the 
area of the global minimum of intermolecular energy for structures of 
different accuracy. The quality of the prediction depends on the 
accuracy of the structures. Thus, the docking of high-resolution 
structures with small conformational changes yields an accurate 
prediction, while the docking of ultralow-resolution structures will 
give only the gross features of the complex.


I am making GRAMM publicly available following a number of requests from 
different labs. I would like to make it clear, however, that both the 
methodology and the program, at present, are in the process of active 
development and validation, especially in the area of the low-resolution 
docking, and have to be viewed like that. The program is free. However, 
I would expect proper references. I will also appreciate bug reports. To 
get GRAMM, send the request to ilya at guitar.rockefeller.edu. The GRAMM 
site on the Web is http://guitar.rockefeller.edu/. 

GRAMM was created during my stay in the Weizmann Institute (1991-1993), 
in the Washington University (1993-1995), and in the Rockefeller 
University (1995-1996). I deeply appreciate the assistance of my 
colleagues in all these institutions (especially, Profs. Ephraim 
Katchalski-Katzir, Garland Marshall, and Andrej Sali).


Presently, GRAMM is compiled on SGI R4000, SGI R4400, SGI R8000, and SGI 
R10000 Unix workstations. In the near future I will expand this list, so 
check the GRAMM site for the updates. Interestingly, GRAMM also works on 
a PC platform under Windows95 (the performance on P5-120 with 16 MB RAM 
is only two times slower than on SGI 250 MHZ Indigo2 R4400).

Papers on GRAMM methodology

* E. Katchalski-Katzir, I. Shariv, M. Eisenstein, A. A. Friesem, C.
  Aflalo, I. A. Vakser, 1992, Molecular surface recognition:
  Determination of geometric fit between proteins and their ligands by
  correlation techniques, Proc. Natl. Acad. Sci. USA, 89, 2195-2199.
  (Basic algorithm of protein recognition by correlation technique with
  Fast Fourier transform. High-resolution 'geometric' docking).

* I. A. Vakser, C. Aflalo, 1994, Hydrophobic docking: A proposed
  enhancement to molecular recognition techniques, Proteins, 20,
  320-329. (High-resolution 'hydrophobic' docking).

* I. A. Vakser, G. V. Nikiforovich, 1995a, Protein docking in the
  absence of detailed molecular structures, in: Methods in Protein
  Structure Analysis (M. Z. Atassi & E. Appella, eds.), Plenum Press,
  New York, pp. 505-514.

* I. A. Vakser, 1995b, Protein docking for low-resolution structures,
  Protein Eng., 8, 371- 377. ('Low-resolution' protein docking).

* I. A. Vakser, 1996a, Long-distance potentials: An approach to the
  multiple-minima problem in ligand-receptor interaction, Protein Eng.,
  9, 37-41. (Interpretation of the low-resolution docking in terms of
  energy potentials).

* I. A. Vakser, 1996b, Low-resolution docking: Prediction of complexes
  for underdetermined structures, Biopolymers, in press (39, No.3).
  (Validation of the low-resolution docking).

* I. A. Vakser, 1996c, Main-chain complementarity in protein-protein
  recognition, Protein Eng., in press (9, No.7). (Docking of Ca

Ilya A. Vakser
The Rockefeller University, Box 270
1230 York Avenue, New York, NY 10021
Phone: (212) 327-7206; Fax: (212) 327-7540
Email: ilya at guitar.rockefeller.edu

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