74.

Pasqualoto K. F. M., Ferreira M. M. C., de Santos-Filho O. A., Hopfinger A. J., "CONSTRUCTING PROTEIN PRUNING MODELS TO PERFORM RECEPTOR-DEPENDENT (RD) 4D-QSAR ANALYSIS OF A SET OF DIAZABORINE DERIVATIVES". Ribeirão Preto, SP, Brazil, 25-28/09/2005: 5th International Congress of Pharmaceutical Sciences (CIFARP2005), Braz. J.  Pharm. Sci., 41(Suppl 1) (2005), 267. Poster MM006. Section: Molecular Modeling (MM).  Poster that was awarded at the CIFARP-2005.



Revista Brasileira de Ciências Farmacêuticas
Brazilian Journal of Pharmaceutical Sciences
vol. 41, supl. 1, 2005267
______________________________________________________________________________________________________________________________________________________________________________________________
 

MM006-CONSTRUCTING  PROTEIN  PRUNING  MODELS   TO  PERFORM   RECEPTOR-DEPENDENT   (RD)   4D-
QSAR  ANALYSIS  OF  A  SET  OF  DIAZABORINE  DERIVATIVES.
 

KERLY  FERNANDA  MESQUITA  PASQUALOTO1 (PQ);  MÁRCIA  MIGUEL  CASTRO  FERREIRA1 (PQ) ;  OSVALDO
DE ANDRADE SANTOS-FILHO2 (PQ) ; ANTON J. HOPFINGER2 (PQ)

1UNICAMP
2UIC
 

Introduction:   Receptor pruning is an approach  for achieving reasonable conformational ensemble profile and performing practical
RD 4D-QSAR analysis in terms of time and computational resources.  Purpose:  Reduce the size of a model structure of enoyl-acp
reductase  (ENR)  from  E. coli,  FabI,  to  allow  ligand-receptor molecular dynamic simulations  (MDSs)  to  be  computationally
economical  yet  still  provide  meaningful  binding thermodynamic data.  Methodology: Three reduced-size models of  FabI  were
created by pruning away all residues greater than 12, 10  and  8 Å radius.  The largest ligand was docked in the active site to define
the largest required receptor model. Energy minimization and MDSs were carried out using the MOLSIM 3.2 program. The lowest energy structure for each of receptor models from  the  MDSs  was compared  by  root mean square  (RMS)  fit  to  the equivalent
portion of the crystal structure of FabI. Results:  A  scale-down  12 Å  receptor model of the enzyme  FabI maintains the structural
integrity of the composite parent crystal structure.  Perspectives:  Structure-based design  of  new antituberculosis agents  regarding
the similarity in the active site of two oxidoreductases, FabI and InhA (M. tuberculosis).
 

Financial Support: CNPq
Supervisor: Márcia Miguel Castro Ferreira.