Overview of computational methods employed in early-stage drug discovery.

Abstract:

BACKGROUND:The understanding of biomolecular interactions ultimately depends on knowledge about the structural and dynamic details of the interacting system. Rational structure-based drug design implements computational methodology in this rationale. DISCUSSION:Together with increasing throughput of structural biology, molecular modeling has progressively contributed to rational drug design and elucidation of nontoxic and patient-tailored interventions, helping to make drug development more cost-efficient. But in this challenging time for the pharmaceutical industry, the successful discovery of novel therapeutics should rely on integration of computational modeling with experimentation when it comes to ligand-binding energetics, system flexibility and genetic diversity/heterogeneity of the target. Moreover, it appears that many drugs--even those for which specific receptors have been identified--intercalate in biological membranes, which could also become the actual target. CONCLUSIONS:Understanding the drug-target and drug-unwanted-target interactions at the atomic level is fundamental in the initial phases of the drug development process. Molecular dynamics simulations and complementary computational methods are already contributing in this endeavor for the soluble pharmacological targets and show an increasing importance in the understanding of membrane-ligand interactions.

journal_name

Future Med Chem

authors

Skjevik AA,Teigen K,Martinez A

doi

10.4155/fmc.09.7

subject

Has Abstract

pub_date

2009-04-01 00:00:00

pages

49-63

issue

1

eissn

1756-8919

issn

1756-8927

journal_volume

1

pub_type

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