IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Kernel Generative Topographic Mapping of Protein Sequences

Kernel Generative Topographic Mapping of Protein Sequences
View Sample PDF
Author(s): Martha-Ivón Cárdenas (Universitat Politècnica de Catalunya, Spain), Alfredo Vellido (Universitat Politècnica de Catalunya, Spain), Iván Olier (The University of Manchester, UK), Xavier Rovira (Universitat Autònoma de Barcelona, Spain)and Jesús Giraldo (Universitat Autònoma de Barcelona, Spain)
Copyright: 2013
Pages: 14
Source title: Bioinformatics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-3604-0.ch044

Purchase

View Kernel Generative Topographic Mapping of Protein Sequences on the publisher's website for pricing and purchasing information.

Abstract

The world of pharmacology is becoming increasingly dependent on the advances in the fields of genomics and proteomics. The –omics sciences bring about the challenge of how to deal with the large amounts of complex data they generate from an intelligent data analysis perspective. In this chapter, the authors focus on the analysis of a specific type of proteins, the G protein-coupled receptors, which are the target for over 15% of current drugs. They describe a kernel method of the manifold learning family for the analysis of protein amino acid symbolic sequences. This method sheds light on the structure of protein subfamilies, while providing an intuitive visualization of such structure.

Related Content

Alessandra Lima da Silva, Diego Mariano, Mariana Parise, Angie L. A. Puelles, Tatiane Senna Bialves, Luana Luiza Bastos, Lucas Santos, Rafael Pereira Lemos. © 2025. 22 pages.
Seyyed Mohammad Amin Mousavi Sagharchi, Mohsen Sheykhhasan, Atousa Ghorbani, Elina Afrazeh, Naresh Poondla, Naser Kalhor, Hamid Tanzadehpanah, Hanie Mahaki, Hamed Manoochehri. © 2025. 46 pages.
Eduarda Guimarães Sousa, Lucas Gabriel Rodrigues Gomes, Fernanda Diniz Prates, Talita Pereira Gomes, Gabriel Camargos Gomes, Janaíne Aparecida de Paula, Ana Lua de Oliveira Vinhal, Bernardo Buhr Alves Mendonça, Mariana Letícia Costa Pedrosa, Luiza Pereira Reis, Aline Ferreira Maciel de Oliveira, Marcus Vinicius Canário Viana, Arun Kumar Jaiswal, Siomar de Castro Soares, Vasco Ariston de Carvalho Azevedo. © 2025. 38 pages.
Diego Mariano, Lucas Moraes dos Santos, Raquel Cardoso de Melo-Minardi. © 2025. 30 pages.
Alessandra G. Cioletti, Frederico C. Carvalho, Lucas M. Dos Santos, Raquel C. M. Minardi. © 2025. 32 pages.
Leandro Morais de Oliveira, Luana Luiza Bastos, Vivian Morais Paixão, Leticia Aparecida Gontijo, Tatiane Senna Bialves, Diego Mariano, Raquel Cardoso de Melo Minardi. © 2025. 40 pages.
Angie Atoche Puelles, Luana Luiza Bastos, Vivian Morais Paixão, Sheila Cruz Araujo, Raquel Cardoso de Melo Minardi. © 2025. 28 pages.
Body Bottom