In silico target fishing: Predicting biological targets from chemical structure

JL Jenkins, A Bender, JW Davies - Drug Discovery Today: Technologies, 2006 - Elsevier
In silico target fishing is an emerging technology that enables the prediction of biological
targets of compounds on the basis of chemical structure by using information from …

[HTML][HTML] The transporter-mediated cellular uptake and efflux of pharmaceutical drugs and biotechnology products: how and why phospholipid bilayer transport is …

DB Kell - Molecules, 2021 - mdpi.com
Over the years, my colleagues and I have come to realise that the likelihood of
pharmaceutical drugs being able to diffuse through whatever unhindered phospholipid …

[HTML][HTML] FragNet, a contrastive learning-based transformer model for clustering, interpreting, visualizing, and navigating chemical space

AD Shrivastava, DB Kell - Molecules, 2021 - mdpi.com
The question of molecular similarity is core in cheminformatics and is usually assessed via a
pairwise comparison based on vectors of properties or molecular fingerprints. We recently …

“Bayes affinity fingerprints” improve retrieval rates in virtual screening and define orthogonal bioactivity space: when are multitarget drugs a feasible concept?

A Bender, JL Jenkins, M Glick, Z Deng… - Journal of chemical …, 2006 - ACS Publications
Conventional similarity searching of molecules compares single (or multiple) active query
structures to each other in a relative framework, by means of a structural descriptor and a …

Is enantioselectivity predictable in asymmetric catalysis?

JM Brown, RJ Deeth - Angewandte Chemie International …, 2009 - Wiley Online Library
Is Enantioselectivity Predictable in Asymmetric Catalysis? - Brown - 2009 - Angewandte Chemie
International Edition - Wiley Online Library Skip to Article Content Skip to Article Information …

Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical …

EO Cannon, A Amini, A Bender, MJE Sternberg… - Journal of computer …, 2007 - Springer
We investigate the classification performance of circular fingerprints in combination with the
Naive Bayes Classifier (MP2D), Inductive Logic Programming (ILP) and Support Vector …

[HTML][HTML] MetMaxStruct: a Tversky-similarity-based strategy for analysing the (sub) structural similarities of drugs and endogenous metabolites

S O'Hagan, DB Kell - Frontiers in pharmacology, 2016 - frontiersin.org
Background: Previous studies compared the molecular similarity of marketed drugs and
endogenous human metabolites (endogenites), using a series of fingerprint-type encodings …

Современные методы поиска новых лекарственных средств

ЮС Головко, ОА Ивашкевич, АС Головко - 2012 - elib.bsu.by
The recent innovations in the drug design and discovery process are reviewed. The data on
peculiarities of drug development main stages are systematized. Special attention is given to …

“Plate cherry picking”: a novel semi-sequential screening paradigm for cheaper, faster, information-rich compound selection

TJ Crisman, JL Jenkins, CN Parker, WAG Hill… - SLAS Discovery, 2007 - Elsevier
This work describes a novel semi-sequential technique for in silico enhancement of high-
throughput screening (HTS) experiments now employed at Novartis. It is used in situations in …

Chemoinformatics-based classification of prohibited substances employed for doping in sport

EO Cannon, A Bender, DS Palmer… - Journal of chemical …, 2006 - ACS Publications
Representative molecules from 10 classes of prohibited substances were taken from the
World Anti-Doping Agency (WADA) list, augmented by molecules from corresponding …