scispace - formally typeset
Journal ArticleDOI

Consensus models of activity landscapes with multiple chemical, conformer, and property representations.

TLDR
Systematic description of the SARs of two targets give rise to the identification of pairs of compounds located in the same region of the activity landscape of hCatL and TbCatB suggesting similar mechanisms of action for the pairs involved.
Abstract
We report consensus Structure–Activity Similarity (SAS) maps that address the dependence of activity landscapes on molecular representation. As a case study, we characterized the activity landscape of 54 compounds with activities against human cathepsin B (hCatB), human cathepsin L (hCatL), and Trypanosoma brucei cathepsin B (TbCatB). Starting from an initial set of 28 descriptors we selected ten representations that capture different aspects of the chemical structures. These included four 2D (MACCS keys, GpiDAPH3, pairwise, and radial fingerprints) and six 3D (4p and piDAPH4 fingerprints with each including three conformers) representations. Multiple conformers are used for the first time in consensus activity landscape modeling. The results emphasize the feasibility of identifying consensus data points that are consistently formed in different reference spaces generated with several fingerprint models, including multiple 3D conformers. Consensus data points are not meant to eliminate data, disregarding,...

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Citations
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Journal ArticleDOI

Exploring Activity Cliffs in Medicinal Chemistry

TL;DR: Detailed analysis of Singleand Multi-Target Activity Cliffs Formed by Currently Available Bioactive Compounds and the impact of Alternative Potency Measurements on SAR Analysis is presented.
Journal ArticleDOI

Activity cliffs in drug discovery: Dr Jekyll or Mr Hyde?

TL;DR: The duality of activity cliffs in medicinal chemistry and computational approaches is addressed, with emphasis on the rationale and potential solutions for handling the 'ugly face' of activity cliff.
Journal ArticleDOI

Expanding the medicinally relevant chemical space with compound libraries.

TL;DR: The chemoinformatic profile of natural products in the Traditional Chinese Medicine database and a large collection assembled from 30 small-molecule combinatorial libraries with emphasis on assessing molecular complexity are discussed.
Book ChapterDOI

On Exploring Structure–Activity Relationships

TL;DR: This chapter highlights the different types of SAR modeling methods and how they support the task of exploring chemical space to elucidate and optimize SARs in a drug discovery setting and reviews common modeling techniques used to encode SARs.
Journal ArticleDOI

Scanning structure-activity relationships with structure-activity similarity and related maps: from consensus activity cliffs to selectivity switches.

TL;DR: The development, practical applications, limitations, and perspectives of the SAS and related maps are reviewed which are intuitive and powerful informatics tools to computationally analyze SPRs.
References
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Journal ArticleDOI

Extended-Connectivity Fingerprints

TL;DR: A description of their implementation has not previously been presented in the literature, and ECFPs can be very rapidly calculated and can represent an essentially infinite number of different molecular features.
Journal ArticleDOI

Chemical Similarity Searching

TL;DR: The concept of similarity searching is introduced, differentiating it from the more common substructure searching, and the current generation of fragment-based measures that are used for searching chemical structure databases are discussed.
Journal ArticleDOI

Similarity-based virtual screening using 2D fingerprints

TL;DR: A detailed comparison of a large number of similarity coefficients demonstrates that the well-known Tanimoto coefficient remains the method of choice for the computation of fingerprint-based similarity, despite possessing some inherent biases related to the sizes of the molecules that are being sought.
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