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This detailed book provides an overview of various classes of
computational techniques, including machine learning techniques,
commonly used for evaluating kinetic parameters of biological
systems. Focusing on three distinct situations, the volume covers
the prediction of the kinetics of enzymatic reactions, the
prediction of the kinetics of protein-protein or protein-ligand
interactions (binding rates, dissociation rates, binding
affinities), and the prediction of relatively large set of kinetic
rates of reactions usually found in quantitative models of large
biological networks. Written for the highly successful Methods in
Molecular Biology series, chapters include the kind of expert
implementation advice that leads to successful results.
Authoritative and practical, Computational Methods for Estimating
the Kinetic Parameters of Biological Systems will be of great
interest for researchers working through the challenge of
identifying the best type of algorithm and who would like to use or
develop a computational method for the estimation of kinetic
parameters.
This detailed book provides an overview of various classes of
computational techniques, including machine learning techniques,
commonly used for evaluating kinetic parameters of biological
systems. Focusing on three distinct situations, the volume covers
the prediction of the kinetics of enzymatic reactions, the
prediction of the kinetics of protein-protein or protein-ligand
interactions (binding rates, dissociation rates, binding
affinities), and the prediction of relatively large set of kinetic
rates of reactions usually found in quantitative models of large
biological networks. Written for the highly successful Methods in
Molecular Biology series, chapters include the kind of expert
implementation advice that leads to successful results.
Authoritative and practical, Computational Methods for Estimating
the Kinetic Parameters of Biological Systems will be of great
interest for researchers working through the challenge of
identifying the best type of algorithm and who would like to use or
develop a computational method for the estimation of kinetic
parameters.
This detailed book explores techniques commonly used for research
into drug repurposing, a well-known strategy to find alternative
indications for drugs which have already undergone toxicology and
pharma-kinetic studies but have failed later stages during the
development, via computational methods. Thereby, it addresses the
intense challenges of identifying the appropriate type of algorithm
and relevant technical information for computational repurposing.
Written for the highly successful Methods in Molecular Biology
series, the authors of each chapter use their experience in the
field to describe the implementation and successful use of a
specific repurposing method thus providing lab-ready instruction.
Authoritative and practical, Computational Methods for Drug
Repurposing serves as an ideal guide to researchers interested in
this vital area of drug development.
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