How similar are similarity searching methods? A principal component analysis of molecular descriptor space

A Bender, JL Jenkins, J Scheiber… - Journal of chemical …, 2009 - ACS Publications
Different molecular descriptors capture different aspects of molecular structures, but this
effect has not yet been quantified systematically on a large scale. In this work, we calculate …

Similarity searching of chemical databases using atom environment descriptors (MOLPRINT 2D): evaluation of performance

A Bender, HY Mussa, RC Glen… - Journal of chemical …, 2004 - ACS Publications
A molecular similarity searching technique based on atom environments, information-gain-
based feature selection, and the naive Bayesian classifier has been applied to a series of …

[PDF][PDF] Circular fingerprints: flexible molecular descriptors with applications from physical chemistry to ADME

RC Glen, A Bender, CH Arnby, L Carlsson, S Boyer… - IDrugs, 2006 - researchgate.net
Circular fingerprints–the representation of molecular structures by atom neighborhoods–
have been applied to a wide range of applications, such as similarity searching and the …

Reverse screening methods to search for the protein targets of chemopreventive compounds

H Huang, G Zhang, Y Zhou, C Lin, S Chen, Y Lin… - Frontiers in …, 2018 - frontiersin.org
This article is a systematic review of reverse screening methods used to search for the
protein targets of chemopreventive compounds or drugs. Typical chemopreventive …

Machine learning for flow batteries: opportunities and challenges

T Li, C Zhang, X Li - Chemical Science, 2022 - pubs.rsc.org
With increased computational ability of modern computers, the rapid development of
mathematical algorithms and the continuous establishment of material databases, artificial …

Machine learning in virtual screening

JL Melville, EK Burke, JD Hirst - Combinatorial chemistry & high …, 2009 - ingentaconnect.com
In this review, we highlight recent applications of machine learning to virtual screening,
focusing on the use of supervised techniques to train statistical learning algorithms to …

Using extended-connectivity fingerprints with Laplacian-modified Bayesian analysis in high-throughput screening follow-up

D Rogers, RD Brown, M Hahn - Journal of biomolecular …, 2005 - journals.sagepub.com
This article describes the use of a combination of extended-connectivity fingerprints (ECFPs)
and Laplacian-modified Bayesian analysis in a study of the inhibition of Escherichia coli …

Comparison of topological descriptors for similarity-based virtual screening using multiple bioactive reference structures

J Hert, P Willett, DJ Wilton, P Acklin… - Organic & …, 2004 - pubs.rsc.org
This paper reports a detailed comparison of a range of different types of 2D fingerprints
when used for similarity-based virtual screening with multiple reference structures …

New methods for ligand-based virtual screening: use of data fusion and machine learning to enhance the effectiveness of similarity searching

J Hert, P Willett, DJ Wilton, P Acklin… - Journal of chemical …, 2006 - ACS Publications
Similarity searching using a single bioactive reference structure is a well-established
technique for accessing chemical structure databases. This paper describes two extensions …

Target prediction utilising negative bioactivity data covering large chemical space

LH Mervin, AM Afzal, G Drakakis, R Lewis… - Journal of …, 2015 - Springer
Background In silico analyses are increasingly being used to support mode-of-action
investigations; however many such approaches do not utilise the large amounts of inactive …