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In Silico Tools for Gene Discovery

Tools for Gene Discovery collects many common and useful in silico tools available today. The volume begins by investigating locus mapping;

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In Silico Technologies in Drug Target Identification and Validation

number of new potential targets and reviews currently available in silico approaches for identifying and validating these targets. The book;

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Predictive ADMET

current clinical practice for drug discovery and development; and consolidates the tools and models to intelligently integrate existing in silico;

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In Silico Drug Design

in silico drug design methods, computational workflows for drug repurposing, and network-based in silico screening for drug efficacy. With;

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Cis/Transgene Optimization

This book is a practical review which focuses on computational analysis and on in silico approaches towards the systematic discovery;

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In Silico Analysis and Modeling of Deleterious Single Nucleotide Polymorphism (SNPs) in Human GATA4 Gene

In Silico Analysis and Modeling of Deleterious Single Nucleotide Polymorphism (Snps) in Human Gata4 Gene is een boek van Et Al;

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In Silico Drug Discovery and Design

drug design field Helps to avoid a black-box approach to in silico drug discovery Constitutes an actual textbook for students in the area;

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In Silico Drug Discovery and Design

drug design field Helps to avoid a black-box approach to in silico drug discovery Constitutes an actual textbook for students in the area;

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In Silico Dreams - How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future

innovation base for the pharmaceutical industry Perfect for anyone with an interest in scientific topics and technology, In Silico Dreams also;

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Metabolic Pathway Design: A Practical Guide

This textbook presents solid tools for in silico engineering biology, offering students a step-by-step guide to mastering the smart design;

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Translational Admet For Drug Therapy

computational tools for drug discovery and development, with new translational approaches to clinical drug investigations in various human populations;

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Chemoinformatics for Drug Discovery

The first guide to address the strengths, weaknesses, case studies, and applications of cheminformatics approaches to drug discovery;

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Immunoinformatics

, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis;

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Brucella Melitensis

, computational screening, drug discovery and molecular docking studies. In addition, the book demonstrates in silico approaches that offer;

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Post-genomic Approaches in Drug and Vaccine Development

Over the past decade, genome sequencing projects and the associated efforts have facilitated the discovery of several novel disease targets;

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Cancer Driver Genes

discovery, in silico approaches, in vitro approaches, and in vivo approaches using forward genetic screens in mice. Written in the highly successful;

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DNA Transposable Elements Research

their initial discovery in 1948 by Barbara McClintock, these mobile genetic elements have come to be widely recognised as ubiquitous components;

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Sage

profiling at the mRNA level (transcriptome analysis). SAGE is also a valuable tool for gene discovery and gene network identification. Written by;

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Computer Aided Drug Design

This book provides up-to-date information on bioinformatics tools for the discovery and development of new drug molecules. It discusses a;

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Cancer Biomarkers

Biomarkers: Analytical Techniques for Discovery: Provides insights into the current technological platforms for biomarker discovery, including mass;

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Mobile Genetic Elements

Transposable elements are used as genetic tools for dissecting the function of a specific gene and elaborating on mechanisms leading to;

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Blood-Brain Barrier in Drug Discovery

Focused on central nervous system (CNS) drug discovery efforts, this book educates drug researchers about the blood-brain barrier (BBB) so;

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In Silico Medicinal Chemistry

book explores these methodologies and applications of in silico medicinal chemistry. The first part of the book covers molecular representation;

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Advanced Analysis of Gene Expression Microarray Data

This book focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for;

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Advances in Computational Biology

: Gene regulation, Gene expression databases, Gene pattern discovery and identification, Genetic network modeling and inference, Gene expression;

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Data Mining in Bioinformatics

mining, gene mapping for disease detection, and phylogenetic knowledge discovery.;

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Computational Chemogenomics

hopping of chemotypes to identify synergies within related drug discovery projects or to repurpose known drugs, to propose mechanism of action;

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