Variable selection methods in QSAR: an overview

MP Gonzalez, C Teran, L Saiz-Urra… - Current topics in …, 2008 - ingentaconnect.com
Variable selection is a procedure used to select the most important features to obtain as
much information as possible from a reduced amount of features. The selection stage is …

Comparative QSARs for antimalarial endochins: Importance of descriptor-thinning and noise reduction prior to feature selection

PK Ojha, K Roy - Chemometrics and Intelligent Laboratory Systems, 2011 - Elsevier
The emergence of multidrug resistance of the currently available antimalarial drugs has led
to the need of the discovery and development of new antimalarial compounds. In the present …

Review of MARCH-INSIDE & complex networks prediction of drugs: ADMET, anti-parasite activity, metabolizing enzymes and cardiotoxicity proteome biomarkers

H Gonzalez-Diaz, A Duardo-Sanchez… - Current drug …, 2010 - ingentaconnect.com
In this communication we carry out an in-depth review of a very versatile QSPR-like method.
The method name is MARCH-INSIDE (MARkov CHains Ivariants for Network Selection and …

Unified QSAR approach to antimicrobials. Part 3: first multi-tasking QSAR model for input-coded prediction, structural back-projection, and complex networks …

FJ Prado-Prado, H González-Díaz… - Bioorganic & medicinal …, 2008 - Elsevier
Several pathogen parasite species show different susceptibilities to different antiparasite
drugs. Unfortunately, almost all structure-based methods are one-task or one-target …

PTML combinatorial model of ChEMBL compounds assays for multiple types of cancer

H Bediaga, S Arrasate… - ACS Combinatorial …, 2018 - ACS Publications
Determining the target proteins of new anticancer compounds is a very important task in
Medicinal Chemistry. In this sense, chemists carry out preclinical assays with a high number …

A survey of quantitative descriptions of molecular structure

R Guha, E Willighagen - Current topics in medicinal chemistry, 2012 - ingentaconnect.com
Numerical characterization of molecular structure is a first step in many computational
analysis of chemical structure data. These numerical representations, termed descriptors …

Unified QSAR and network‐based computational chemistry approach to antimicrobials, part 1: Multispecies activity models for antifungals

H GonzÁlez‐DÍaz… - Journal of computational …, 2008 - Wiley Online Library
There are many pathogen microbial species with very different antimicrobial drugs
susceptibility. In this work, we selected pairs of antifungal drugs with similar/dissimilar …

Drug discovery and design for complex diseases through QSAR computational methods

CR Munteanu, E Fernández-Blanco… - Current …, 2010 - ingentaconnect.com
There is a need for the study of complex diseases due to their important impact on our
society. One of the solutions involves the theoretical methods which are fast and efficient …

Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines

H Singh, R Kumar, S Singh, K Chaudhary, A Gautam… - BMC cancer, 2016 - Springer
Background In past, numerous quantitative structure-activity relationship (QSAR) based
models have been developed for predicting anticancer activity for a specific class of …

Total and local (atom and atom type) molecular quadratic indices: significance interpretation, comparison to other molecular descriptors, and QSPR/QSAR …

YM Ponce - Bioorganic & medicinal chemistry, 2004 - Elsevier
This paper describes the significance interpretation, comparison to other molecular
descriptors, and QSPR/QSAR applications of a new set of molecular descriptors: atom, atom …