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Academic Press Computational Approaches to Natural Products Discovery - Volume 730

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Description

Computational Approaches to Natural Products Discovery: Volume 730 presents cutting-edge computational methods for studying natural products, including genome mining, biosynthesis prediction, and structure analysis. This volume in the Methods in Enzymology series features chapters on bioactivity prediction from BGC sequences to guide genome mining efforts, resistance gene identification using ARTS technology, lasso peptide structure prediction with LassoPred, and lanthipeptide modelling. Researchers in biochemistry, molecular biology, and drug discovery will find comprehensive techniques for accelerating natural product research, from initial genomic screening to structural characterisation. Academic Press delivers peer-reviewed scientific content designed for laboratory professionals and academic researchers seeking advanced computational strategies in natural products chemistry and biotechnology applications.

Key Features

Volume 730 covers genome mining and resistance gene identification for discovering bioactive natural products with computational precision.

LassoPred and lanthipeptide prediction tools enable researchers to model complex natural product structures computationally.

BGC sequence analysis guides bioactivity prediction, streamlining the selection of promising natural product candidates.

Methods in Enzymology series format provides detailed protocols and techniques suitable for laboratory implementation and research applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 June 2026
Listed Since
15 May 2025

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