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Orcid Publication

Detalle de: Current Challenges in the Computational Modelling of Molecular Recognition Processes

Title Current Challenges in the Computational Modelling of Molecular Recognition Processes
Abstract

In this chapter, we present a variety of case studies where computational methods have been skilfully applied to address questions related to molecular recognition problems. Besides methodological innovations, this chapter aims to illustrate how current relevant chemical biology problems can be studied from a computational chemical biology perspective: dynamics of proteins and structure prediction, protein–protein interactions, complex molecular systems (ribosome, CRISPR/Cas system, Toll-like receptors), nanostructures, and signalling networking. The computational ‘eye’ may help to give some answers to questions regarding the way biological processes take place, and help to raise new questions.

Apa Reference Pérez-Regidor, L., Guzmán-Caldentey, J., Rodríguez, C.F., Billod, J., Nogales, J. & Martín-Santamaría, S. (2017). Current Challenges in the Computational Modelling of Molecular Recognition Processes. Computational Tools for Chemical Biology, 221-246. 10.1039/9781788010139-00221
Doi 10.1039/9781788010139-00221
Publication Date 2 Nov 2017
Publication Type Book / chapter
Researcher Juan Nogales
Ontology Computational Methods, Computational models and simulations, Structure prediction, Protein-Protein Interactions, Genome editing (CRISPR)
Research Groups
Tools

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