Int. J. Mol. Sci. 2003, 4(8), 512-536; doi:10.3390/i4080512
Article

Total and Local Quadratic Indices of the “Molecular Pseudograph’s Atom Adjacency Matrix”. Application to Prediction of Caco-2 Permeability of Drugs

1,2,* email, 2, 3, 4 and 5
Received: 16 May 2003; Accepted: 17 June 2003 / Published: 30 August 2003
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The high interest in the prediction of the intestinal absorption for New Chemical Entities (NCEs) is generated by the increasing rate in the synthesis of compounds by combinatorial chemistry and the extensive cost of the traditional evaluation methods. Quantitative Structure–Permeability Relationships (QSPerR) of the intestinal permeability across the Caco-2 cells monolayer (PCaco-2) could be obtained by the application of new molecular descriptors. In this sense, quadratic indices of the “molecular pseudograph’s atom adjacency matrix” and multiple linear regression analysis were used to obtain good quantitative models to determine the PCaco-2. QSPerR models found are significant from a statistical point of view. The total and local quadratic indices were calculated with the TOMO-COMD software. A leave-one-out cross-validation procedure (internal validation) and the evaluation of external test set of 20 drugs (external validation) revealed that regression models had a good predictive power. A comparison with results derived from other theoretical studies shown a quite satisfactory behavior of the present method. The descriptors included in the prediction models permitted the interpretation in structural terms of the permeability process, evidencing the main role of H-bonding and size properties. The models found were used in virtual screening of drug intestinal permeability and a relationship between PCaco-2 calculated and percentage of human intestinal absorption for the 72 compounds was established. These results suggest that the proposed method is able to predict PCaco-2, being a good tool for screening of PCaco-2 for large sets of NCEs synthesized via combinatorial chemistry approach.
Keywords: Drug Absorption; Caco-2 cell; TOMO-COMD Software; Quadratic Indices; QSPerR
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MDPI and ACS Style

Ponce, Y.M.; Pérez, M.A.C.; Zaldivar, V.R.; Ofori, E.; Montero, L.A. Total and Local Quadratic Indices of the “Molecular Pseudograph’s Atom Adjacency Matrix”. Application to Prediction of Caco-2 Permeability of Drugs. Int. J. Mol. Sci. 2003, 4, 512-536.

AMA Style

Ponce YM, Pérez MAC, Zaldivar VR, Ofori E, Montero LA. Total and Local Quadratic Indices of the “Molecular Pseudograph’s Atom Adjacency Matrix”. Application to Prediction of Caco-2 Permeability of Drugs. International Journal of Molecular Sciences. 2003; 4(8):512-536.

Chicago/Turabian Style

Ponce, Yovani M.; Pérez, Miguel A.C.; Zaldivar, Vicente R.; Ofori, Ernest; Montero, Luis A. 2003. "Total and Local Quadratic Indices of the “Molecular Pseudograph’s Atom Adjacency Matrix”. Application to Prediction of Caco-2 Permeability of Drugs." Int. J. Mol. Sci. 4, no. 8: 512-536.

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