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Journal ArticleDOI

The influence of drug-like concepts on decision-making in medicinal chemistry

TLDR
Analysis of recent trends reveals that the physical properties of molecules that are currently being synthesized in leading drug discovery companies differ significantly from those of recently discovered oral drugs and compounds in clinical development.
Abstract
The application of guidelines linked to the concept of drug-likeness, such as the 'rule of five', has gained wide acceptance as an approach to reduce attrition in drug discovery and development. However, despite this acceptance, analysis of recent trends reveals that the physical properties of molecules that are currently being synthesized in leading drug discovery companies differ significantly from those of recently discovered oral drugs and compounds in clinical development. The consequences of the marked increase in lipophilicity--the most important drug-like physical property--include a greater likelihood of lack of selectivity and attrition in drug development. Tackling the threat of compound-related toxicological attrition needs to move to the mainstream of medicinal chemistry decision-making.

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Citations
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Strategies for the Design of HIV-1 Non-Nucleoside Reverse Transcriptase Inhibitors: Lessons from the Development of Seven Representative Paradigms

TL;DR: Transcriptase Inhibitors: Lessons from the Development of Seven Representative Paradigms
Journal ArticleDOI

Where Do Recent Small Molecule Clinical Development Candidates Come From

TL;DR: The majority of clinical candidates were found to be structurally very different from their starting point and were more complex, and several reports of noncovalent scaffolds modified by a covalent warhead using SBDD approaches are discussed.
Journal ArticleDOI

Computational analysis of calculated physicochemical and ADMET properties of protein-protein interaction inhibitors

TL;DR: In this article, the authors analyzed the properties of iPPIs in terms of Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) and in some cases to poor clinical outcomes.
Journal ArticleDOI

Beyond size, ionization state, and lipophilicity: influence of molecular topology on absorption, distribution, metabolism, excretion, and toxicity for druglike compounds.

TL;DR: It is shown that aqueous solubility, Caco-2 permeability, plasma protein binding, human ether-a-go- go-related potassium channel protein inhibition, and CYP3A4 (CYP = cytochrome P450) inhibition are influenced by the molecular topology.
References
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Journal ArticleDOI

Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings

TL;DR: Experimental and computational approaches to estimate solubility and permeability in discovery and development settings are described in this article, where the rule of 5 is used to predict poor absorption or permeability when there are more than 5 H-bond donors, 10 Hbond acceptors, and the calculated Log P (CLogP) is greater than 5 (or MlogP > 415).
Journal ArticleDOI

Molecular properties that influence the oral bioavailability of drug candidates.

TL;DR: Reduced molecular flexibility, as measured by the number of rotatable bonds, and low polar surface area or total hydrogen bond count are found to be important predictors of good oral bioavailability, independent of molecular weight.
Journal ArticleDOI

Can the pharmaceutical industry reduce attrition rates

TL;DR: The pharmaceutical industry faces considerable challenges, both politically and fiscally, and the fiscal pressures that face the industry from the perspective of R&D are dealt with.
Book

The Merck index

TL;DR: This CD-ROM provides the tools to draw structures and then search for them, and presents over 10,000 monographs which detail chemicals, drugs and biologicals, and describe a single substance or small group of related compounds.
Journal ArticleDOI

Lead- and drug-like compounds: the rule-of-five revolution.

TL;DR: This topic is explored in terms ofDrug-like physicochemical features, drug-like structural features, a comparison of drug- like and non-drug-like in drug discovery and a discussion of how drug-Like features relate to clinical success.
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