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

Relationships between biological entities extracted from the literature

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

1-day Workshop on Variability in Biology. May 30th 2022. National Centre for Biotechnology, Madrid. On-line and in-person (limited slots). Registration required. [More info]

Last updates and changes

[NEW]	MBROLE 3.0 - Updated server for the functional analysis of metabolomics datasets. Lopez-Ibañez et al, 2023
[NEW]	CoMent server for browsing millions of relationships between biomedical concepts inferred from the scientific literature. Pazos et al, 2022
	We have moved all web pages and services to a new web server. If you detect any problem, please let us know.
	iFragMent server - Profile-based approach for predicting biological pathways of chemical compounds [Pubmed:34118870]