Computational methods in drug discovery

G Sliwoski, S Kothiwale, J Meiler, EW Lowe Jr… - Pharmacological …, 2014 - Elsevier
Computer-aided drug discovery/design methods have played a major role in the
development of therapeutically important small molecules for over three decades. These …

[HTML][HTML] Big data creates new opportunities for materials research: a review on methods and applications of machine learning for materials design

T Zhou, Z Song, K Sundmacher - Engineering, 2019 - Elsevier
Materials development has historically been driven by human needs and desires, and this is
likely to continue in the foreseeable future. The global population is expected to reach ten …

PaDEL‐descriptor: An open source software to calculate molecular descriptors and fingerprints

CW Yap - Journal of computational chemistry, 2011 - Wiley Online Library
Abstract Introduction PaDEL‐Descriptor is a software for calculating molecular descriptors
and fingerprints. The software currently calculates 797 descriptors (663 1D, 2D descriptors …

Computer-aided molecular design: An introduction and review of tools, applications, and solution techniques

ND Austin, NV Sahinidis, DW Trahan - Chemical Engineering Research …, 2016 - Elsevier
This article provides an introduction to and review of the field of computer-aided molecular
design (CAMD). It is intended to be approachable for the absolute beginner as well as useful …

Computational methods in developing quantitative structure-activity relationships (QSAR): a review

AZ Dudek, T Arodz, J Gálvez - Combinatorial chemistry & high …, 2006 - ingentaconnect.com
Virtual filtering and screening of combinatorial libraries have recently gained attention as
methods complementing the high-throughput screening and combinatorial chemistry. These …

Structure/response correlations and similarity/diversity analysis by GETAWAY descriptors. 1. Theory of the novel 3D molecular descriptors

V Consonni, R Todeschini, M Pavan - Journal of chemical …, 2002 - ACS Publications
Novel molecular descriptors based on a leverage matrix similar to that defined in statistics
and usually used for regression diagnostics are presented. This leverage matrix, called …

Some new trends in chemical graph theory

R García-Domenech, J Gálvez… - Chemical …, 2008 - ACS Publications
This review consists of four parts, each treating a different aspect of chemical graph theory:(i)
recent developments in molecular connectivity theory,(ii) drug design using a chemical …

Mold2, Molecular Descriptors from 2D Structures for Chemoinformatics and Toxicoinformatics

H Hong, Q Xie, W Ge, F Qian, H Fang… - Journal of chemical …, 2008 - ACS Publications
Research applications in chemoinformatics and toxicoinformatics increasingly use
representations of molecules in the form of numerical descriptors that capture the structural …

Multilabel classification models for the prediction of cross-coupling reaction conditions

MR Maser, AY Cui, S Ryou, TJ DeLano… - Journal of Chemical …, 2021 - ACS Publications
Machine-learned ranking models have been developed for the prediction of substrate-
specific cross-coupling reaction conditions. Data sets of published reactions were curated …

Esters, amides and substituted derivatives of cinnamic acid: synthesis, antimicrobial activity and QSAR investigations

B Narasimhan, D Belsare, D Pharande… - European Journal of …, 2004 - Elsevier
A series of esters (Ia–k), substituted derivatives (IIa–d) and amides (IIIa–q) of cinnamic acid
were synthesized and evaluated as antibacterial and antifungal agents. All the derivatives …