Computational Systems Biology

Computational Systems Biology Group (CNB-CSIC)

Welcome to the web space of the Computational Systems Biology Group. We are integrated in the Systems Biology Program of the National Centre for Biotechnology (CNB-CSIC).

Use the links above to access the different sections.

Prediction of functional residues in proteins

ODCs - Connections between rare diseases through shared genes and protein interactions

Biological significance of GeneOntology biological processes

Functional interpretation of metabolomics data

Sequence determinants of ATP hydrolysis asymmetry in the CCT chaperonins

Evolution of the ecosystem of software tools supporting research in molecular biology

Rational design of a Jasmonate antagonist

Functional annotation at the domain level

Vectorial representation of chemical compounds and metabolic reactions

Extraction of metabolite co-dependencies from metabonomics data

Prediction of chemical compound biodegradability

Phylogeny-independent prediction of functional residues

Co-evolutionary analysis of protein multiple sequence alignments

Determinants of the amino-acid racemases substrate specificity

Relationship between protein functional features and mRNA local translation speed

Global analysis of protein disorder in A. thaliana

Mirrortree - Co-evolution-based prediction of protein interactions

Prediction of protein interaction partners using physical docking

Detection of significant protein co-evolution

Detection of genomic regions with informative epigenetic patterns

Events/News

Colloquium on Programmability and predictability of Biological Systems. CNB, Madrid, Feb 2019.

Last updates and changes

[NEW]	Updated links for the web tools described in the Practical Protein Bioinformatics book.
	Automatic detection of genomic regions with informative epigenetic patterns. [PubMed:30486775]
	One position offered by our group within the La Caixa Foundation INPHINIT-INCOMING PhD fellowships. (In the search form look for "CNB" in "RESEARCH CENTRE"). Deadline: Feb 6th, 2019.
	Characteristics and evolution of the ecosystem of software tools supporting research in molecular biology. More info
	MBROLE 2.0 server - Functional analysis of metabolomics data. New chemical and biological databases added, together with improved functionalities and interface