How similar are similarity searching methods? A principal component analysis of molecular descriptor space
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 …
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 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 …
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
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 …
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 …
protein targets of chemopreventive compounds or drugs. Typical chemopreventive …
Machine learning for flow batteries: opportunities and challenges
With increased computational ability of modern computers, the rapid development of
mathematical algorithms and the continuous establishment of material databases, artificial …
mathematical algorithms and the continuous establishment of material databases, artificial …
Machine learning in virtual screening
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 …
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 …
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
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 …
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
Similarity searching using a single bioactive reference structure is a well-established
technique for accessing chemical structure databases. This paper describes two extensions …
technique for accessing chemical structure databases. This paper describes two extensions …
Target prediction utilising negative bioactivity data covering large chemical space
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 …
investigations; however many such approaches do not utilise the large amounts of inactive …