Software / Databases

Published Software:

logo agadir Agadir :
An algorithm to predict the helical content of peptides
logo tango Tango:
Prediction of b-sheet aggregation
logo foldx FoldX:
Protein Design Software
logo smartcell SmartCell:
A Cell Network Simulation Program
logo waltz Waltz:
Predicting amylogenic regions in protein sequences
logo biskit Biskit:
A Python platform for structural bioinformatics



logo adan ADAN:
Prediction of protein-protein interAction of moDular domAiNs
logo brix BriX:
Structural classification of protein fragments
logo mympn MyMpn:
Mycoplasma pneumoniae database
logo snpeffect SNPeffect :
Molecular Phenotypes of Human Diseases
logo pepx PepX:
A structural database of non-redundant protein-peptide complexesA structural database of non-redundant protein-peptide complexes


Virtual Machines:

Ongoing research:


under construction


under construction

People involved:

  • François Stricher

ADAN Database

The ADAN database and related web tools are on line resources ( ) for the predictive analysis of protein-protein interaction between ligand and domain complexes. The main module of ADAN database contains a useful collection of different modular protein domains (SH2, SH3, PDZ, WW, etc.) mainly involved in protein-protein interactions. The entries in ADAN are well annotated and linked with other databases, offering all structural and functional information available on protein domains, thus making ADAN database suitable as a starting platform for homology modelling at genome-wide scale. The database contains more that 2500 entries, comprising different protein-protein interaction domains, enzymes and derived models that are manually integrated an annotated into ADAN to provide biological and functional information. Annotation is presented in abstracts containing references to other databases, biochemical and thermodynamical data, simplified coordinate files, sequence files and alignments. As a novelty, the database offers position specific scoring matrices for protein-protein interaction predictions that are used to predict optimum ligands as well as to search putative protein partners in the corresponding genomes. Additional interactive web tools were developed to allow users to scan a query sequence against selected matrices, or to improve a ligand interacting with a domain.