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Home   •   Spotlight  •  rlist3q05j  •  Most Requested Journal Articles 3Q05-Chemistry and Related Science (7)
Most Requested Journal Articles 3Q05-Chemistry and Related Science
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Following is one of the journal articles most requested by researchers using CAS electronic products.



CAS indexed 1993 chemical substances from this document.
CAS subject entries for this document include: Antibacterial agents; Drug design; Drug screening; and 4 additional concepts.

CAPLUS COPYRIGHT 2005 ACS on STN

TITLE: Atom, atom-type, and total nonstochastic and stochastic quadratic fingerprints: a promising approach for modeling of antibacterial activity
AUTHOR(S): Marrero-Ponce, Yovani; Medina-Marrero, Ricardo; Torrens, Francisco; Martinez, Yamile; Romero-Zaldivar, Vicente; Castro, Eduardo A.
CORPORATE SOURCE: Department of Pharmacy, Faculty of Chemical-Pharmacy, Central University of Las Villas, Santa Clara, 54830, Cuba
SOURCE: Bioorganic & Medicinal Chemistry (2005), 13(8), 2881-2899 CODEN: BMECEP; ISSN: 0968-0896
PUBLISHER: Elsevier Ltd.
LANGUAGE: English
ABSTRACT:
The Topol. Mol. Computer Design (TOMOCOMD-CARDD) approach has been introduced for the classification and design of antimicrobial agents using computer-aided mol. design. For this propose, atom, atom-type, and total quadratic indexes have been generalized to codify chem. structure information. In this sense, stochastic quadratic indexes have been introduced for the description of the mol. structure. These stochastic fingerprints are based on a simple model for the intramol. movement of all valence-bond electrons. In this work, a complete data set contg. 1006 antimicrobial agents is collected and presented. Two structure-based antibacterial activity classification models have been generated. The models (including nonstochastic and stochastic indexes) classify correctly more than 90% of 1525 compds. in training sets. These models permit the correct classification of 92.28% and 89.31% of 505 compds. in an external test sets. The approach, also, satisfactorily compares with respect to nine of the most useful models for antimicrobial selection reported to date. Finally, a virtual screening of 87 new compds. reported in the anti-infective field with antibacterial activities is developed showing the ability of the models to identify new leads as antibacterial.

 

Updated 5/10/2007 9:04:10 AM
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