Chemoinformatics methods for systematic comparison of molecules from natural and synthetic sources and design of hybrid libraries

J Bajorath - Molecular diversity, 2000 - Springer
Until recently, the field of diversity and library design has more or less ignored
naturalproducts as a compound source. This is probably due to at least two reasons. First …

Classification models for safe drug molecules

AK Madan, S Bajaj, H Dureja - Computational Toxicology: Volume II, 2013 - Springer
Frequent failure of drug candidates during development stages remains the major deterrent
for an early introduction of new drug molecules. The drug toxicity is the major cause of …

Differential Shannon entropy analysis identifies molecular property descriptors that predict aqueous solubility of synthetic compounds with high accuracy in binary …

FL Stahura, JW Godden, J Bajorath - Journal of chemical …, 2002 - ACS Publications
Prediction of aqueous solubility of organic molecules by binary QSAR was used as a test
case for a recently introduced entropy-based descriptor selection method. Property …

[图书][B] Computational protein-protein interactions

R Nussinov, G Schreiber - 2009 - taylorfrancis.com
Often considered the workhorse of the cellular machinery, proteins are responsible for
functions ranging from molecular motors to signaling. The broad recognition of their …

Chemical descriptors with distinct levels of information content and varying sensitivity to differences between selected compound databases identified by SE-DSE …

JW Godden, J Bajorath - Journal of chemical information and …, 2002 - ACS Publications
Analysis of the variability of molecular descriptors in large compound databases has
recently been carried out using both the Shannon entropy (SE) and differential Shannon …

[图书][B] Adaptive systems in drug design

G Schneider - 2002 - taylorfrancis.com
A brief history of drug design presented to make clear that there are fashions in this
important field and that they change rather rapidly. This is due in part to the fact that the way …

Molecular Modelling and Computer Aided Drug Design: The Skill Set Every Scientist in Drug Research Needs and Can Easily Get

S Sarı - Hacettepe University Journal of the Faculty of …, 2020 - dergipark.org.tr
The overwhelming advances we have been witnessing in molecular modelling for a couple
of decades go hand in hand with the booming computer and information technologies …

Structural features of mammalian histidine decarboxylase reveal the basis for specific inhibition

AA Moya‐García, A Pino‐Ángeles… - British journal of …, 2009 - Wiley Online Library
For a long time the structural and molecular features of mammalian histidine decarboxylase
(EC 4.1. 1.22), the enzyme that produces histamine, have evaded characterization. We …

Machine learning in discovery of new antivirals and optimization of viral infections therapy

O Tarasova, V Poroikov - Current Medicinal Chemistry, 2021 - ingentaconnect.com
Nowadays, computational approaches play an important role in the design of new drug-like
compounds and optimization of pharmacotherapeutic treatment of diseases. The emerging …

Wave functions, density functionals, and artificial intelligence for materials and energy research: Future prospects and challenges

MA Mosquera, B Fu, KL Kohlstedt, GC Schatz… - ACS Energy …, 2017 - ACS Publications
Semiconducting materials, crystalline or amorphous, feature a diverse family of emergent
transient properties (excitons, free carriers, plasmons, polarons, etc.) of interest to energy …