Kernel Methods in Computational Biology

Kernel Methods in Computational Biology
Author: Bernhard Schölkopf
Publisher: MIT Press
Total Pages: 428
Release: 2004
Genre: Computers
ISBN: 9780262195096

A detailed overview of current research in kernel methods and their application to computational biology.

Reviews in Computational Chemistry, Volume 18

Reviews in Computational Chemistry, Volume 18
Author: Kenny B. Lipkowitz
Publisher: John Wiley & Sons
Total Pages: 384
Release: 2003-04-14
Genre: Science
ISBN: 0471461423

Seit vielen Jahren praxisbewährt! Auch dieser 18. Band der Reihe Reviews in Computational Chemistry gibt Studenten und Forschern einen Einblick in Rechenverfahren, die sie anwenden wollen, ohne daß die theoretischen Grundlagen zu ihrem Arbeitsgebiet gehören. Das methodische Spektrum umfaßt Molecular Modeling, Quantenchemie, CAMD, QSAR, Molekülmechanik und -dynamik. Mit einem Autoren- und einem Stichwortverzeichnis sowie einer ausführlichen Softwareliste, die Hunderte von Programmen, Dienstleistungen und Anbietern umfaßt.

Molecular Diversity in Drug Design

Molecular Diversity in Drug Design
Author: P.M. Dean
Publisher: Springer Science & Business Media
Total Pages: 261
Release: 2007-05-08
Genre: Science
ISBN: 0306468735

High-throughput screening and combinatorial chemistry are two of the most potent weapons ever to have been used in the discovery of new drugs. At a stroke, it seems to be possible to synthesise more molecules in a month than have previously been made in the whole of the distinguished history of organic chemistry, Furthermore, all the molecules can be screened in the same short period. However, like any weapons of immense power, these techniques must be used with care, to achieve maximum impact. The costs of implementing and running high-throughput screening and combinatorial chemistry are high, as large dedicated facilities must be built and staffed. In addition, the sheer number of chemical leads generated may overwhelm the lead optimisation teams in a hail of friendly fire. Mother nature has not entirely surrendered, as the number of building blocks that could be used to build libraries would require more atoms than there are in the universe. In addition, the progress made by the Human Genome Project has uncovered many proteins with different functions but related binding sites, creating issues of selectivity. Advances in the new field of pharmacogenomics will produce more of these challenges. There is a real need to make hi- throughput screening and combinatorial chemistry into 'smart' weapons, so that their power is not dissipated. That is the challenge for modellers, computational chemists, cheminformaticians and IT experts. In this book, we have broken down this grand challenge into key tasks.

Reviews in Computational Chemistry, Volume 16

Reviews in Computational Chemistry, Volume 16
Author: Kenny B. Lipkowitz
Publisher: John Wiley & Sons
Total Pages: 370
Release: 2009-09-22
Genre: Science
ISBN: 0470126213

Volume 16 Reviews In Computational Chemistry Kenny B. Lipkowitz and Donald B. Boyd The focus of this book is on methods useful in molecular design. Tutorials and reviews span (1) methods for designing compound libraries for combinatorial chemistry and high throughput screening, (2) the workings of artificial neural networks and their use in chemistry, (3) force field methods for modeling materials and designing new substances, and (4) free energy perturbation methods of practical usefulness in ligand design. From Reviews of the Series "This series spans all the subdisciplines in the field, from techniques to practical applications, and includes reviews from many of the acknowledged leaders in the field. the reviews cross many subdisciplines yet are both general enough to be of wide interest while including detailed information of use to workers in particular subdisciplines." -Journal of the American Chemical Society

Algorithms in Computational Molecular Biology

Algorithms in Computational Molecular Biology
Author: Mourad Elloumi
Publisher: John Wiley & Sons
Total Pages: 1027
Release: 2011-04-04
Genre: Science
ISBN: 1118101987

This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.

Data Analysis in Molecular Biology and Evolution

Data Analysis in Molecular Biology and Evolution
Author: Xuhua Xia
Publisher: Springer Science & Business Media
Total Pages: 284
Release: 2007-05-08
Genre: Science
ISBN: 030646893X

Data Analysis in Molecular Biology and Evolution introduces biologists to DAMBE, a proprietary, user-friendly computer program for molecular data analysis. The unique combination of this book and software will allow biologists not only to understand the rationale behind a variety of computational tools in molecular biology and evolution, but also to gain instant access to these tools for use in their laboratories. Data Analysis in Molecular Biology and Evolution serves as an excellent resource for advanced level undergraduates or graduates as well as for professionals working in the field.

An Introduction to Chemoinformatics

An Introduction to Chemoinformatics
Author: Andrew R. Leach
Publisher: Springer
Total Pages: 260
Release: 2007-09-04
Genre: Science
ISBN: 1402062915

This book aims to provide an introduction to the major techniques of chemoinformatics. It is the first text written specifically for this field. The first part of the book deals with the representation of 2D and 3D molecular structures, the calculation of molecular descriptors and the construction of mathematical models. The second part describes other important topics including molecular similarity and diversity, the analysis of large data sets, virtual screening, and library design. Simple illustrative examples are used throughout to illustrate key concepts, supplemented with case studies from the literature.

Computational Methods for the Analysis of Genomic Data and Biological Processes

Computational Methods for the Analysis of Genomic Data and Biological Processes
Author: Francisco A. Gómez Vela
Publisher: MDPI
Total Pages: 222
Release: 2021-02-05
Genre: Medical
ISBN: 3039437712

In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality.

Trends in Drug Research III

Trends in Drug Research III
Author: H. van der Goot
Publisher: Elsevier
Total Pages: 273
Release: 2002-01-25
Genre: Medical
ISBN: 0080543235

The tradition of setting new trends in medicinal chemistry continued at the 13th Symposium where topics included chemical and biological diversity, new paradigms in drug action, and new insights in receptor mechanisms. Other topics of great interest discussed, and included in these proceedings, are the discoveries in green chemistry, the interface between organic synthesis and biosynthesis, the growing problem of resistant micro-organisms and the possibilities to identify new, and better, antibiotics. And finally, in recent developments, the discovery of small molecules with insulin sensitizing properties.