FAF-Drugs (Free ADME-Tox Filtering Tool version 4.0) is a program for filtering large compound libraries prior to in silico screening experiments or related modeling studies. The main goal is the computational prediction of some ADME-Tox properties (Adsorption, Distribution, Metabolism, Excretion and Toxicity) in order to assist hit selection before chemical synthesis or ordering.

FAF-Drugs employs pre-defined filters, but users can also customize their own filtering parameters by using the Filter-Editor service.

Lagorce D, Sperandio O, Baell JB, Miteva MA, Villoutreix BO.
FAF-Drugs3: a web server for compound property calculation and chemical library design.
Nucleic Acids Res. 2015 Jul 1;43(W1):W200-7.
Lagorce D, Maupetit J, Baell JB, Sperandio O, Tufféry P, Miteva MA, Galons H, Villoutreix BO.
The FAF-Drugs2 server: a multistep engine to prepare electronic chemical compound collections.
Bioinformatics. 2011 Jul 15;27(14):2018-20.
Lagorce D, Sperandio O, Galons H, Miteva MA, Villoutreix BO.
FAF-Drugs2: free ADME/tox filtering tool to assist drug discovery and chemical biology projects
BMC Bioinformatics. 2008 Sep 24;9:396.


Frog is intended to generate 3D for drugs, usually described using a 1D or 2D representation. Frog performs isomer identification from ambiguous compound description. Frog is able to generate multi-conformations per isomer.

Miteva MA, Guyon F, Tufféry P.
Frog2: Efficient 3D conformation ensemble generator for small compounds.
Nucleic Acids Res. 2010 Jul;38(Web Server issue):W622-7.
Leite TB, Gomes D, Miteva MA, Chomilier J, Villoutreix BO, Tufféry P.
Frog: a FRee Online druG 3D conformation generator.
Nucleic Acids Res. 2007 Jul;35(Web Server issue):W568-72.


AMMOS is a software platform that employs an automatic procedure for energy minimization of protein-ligands complexes via the website AMMOS2 and of small chemical compounds via the website AMMOS. AMMOS offers valuable solutions to assist structure-based in silico screening experiments or ligand-based projects.

Labbé CM, Pencheva T, Jereva D, Desvillechabrol D, Becot J, Villoutreix BO, Pajeva I, Miteva MA.
AMMOS2: a web server for protein-ligand-water complexes refinement via molecular mechanics.
Nucleic Acids Res. 2017 May 9.
Jereva D, Pencheva T, Lagorce D, Desvillechabrol D, Pajeva I, Miteva MA.
Post-docking optimization of protein-ligand interactions involving water molecules.
Asian J Physics. 2014;23:745-56.
Pencheva T, Lagorce D, Pajeva I, Villoutreix BO, Miteva MA.
AMMOS: Automated Molecular Mechanics Optimization tool for in silico Screening.
BMC Bioinformatics. 2008 Oct 16;9:438.


Open screening endeavors play and will play key role in order to facilitate the identification of new bioactive compounds for drug discovery and chemical biology purposes. Such open access tools are critical to advance the success of drug discovery projects in particular for academic groups.

MTiAutoDock and MTiOpenScreen are two services dedicated to small molecule docking and chemical library virtual screening.

Labbé C, Rey J, Lagorce D, Vavruša M, Becot J, Sperandio O, Villoutreix B, Tufféry P, Miteva M.
MTiOpenScreen: a web server for structure-based virtual screening.
Nucleic Acids Res. 2015 Jul 1;43(W1):W448-54.


The SeamDock on-line service integrates different docking tools in a common framework that makes possible to undergo ligand global and/or local docking and a hierarchical approach combining the two for easy interaction site identification. This service does not require advanced computer knowledge and it works without installation of any programs with the exception of a common web browser.


BactPepDB is a database of predicted peptides from an exhaustive survey of complete prokaryote genomes. It provides insights about candidate peptides, and provides information about their conservation, together with some of their expected biological/structural features. The BactPepDB interface allows to search for candidate peptides in the database, or to search for peptides similar to a query, according to the multiple properties predicted or related to genomic localization.

Rey J, Deschavanne P, Tufféry P.
BactPepDB: a database of predicted peptides from an exhaustive survey of complete prokaryote genomes.
Database (Oxford). 2014 Nov 6;2014. Print 2014.


SolyPep is a fast and flexible random sequence generator for producing peptides selected for their aqueous solubility

The server first generates the required number peptides of desired length. This input library can alternatively be provided by the user in fasta format by pasting the sequences in the input field or by uploading a file. Each peptide sequence can be filtered according to a set of simple rules designed to guarantee the peptide solubility. The next step of the service will offer the processing of individual peptide sequences into 3D coordinates, files for use direct in autodock or vina can optionnally be added to the archive. It is important to note that the 3D generation step aims at providing starting conformations for flexible docking using a tool such as autodock, not predicting the conformation of the peptides in solution.

Téletchéa S, Rey J, Stresing V, Hervouet S, Tufféry P, Heymann D.
SolyPep: a fast generator of soluble peptides
in preparation.


DaReUS-Loop is a web server for the (re-)modeling of loops in homology models. It follows a data-based approach, identifying loop candidates by mining the complete set of experimental structures available in the Protein Data Bank (PDB).

Candidate loops are filtered based on the sequence and then ranked using the local conformation profile and the structural fit. DaReUS-Loop returns ten loop models for each individual loop region.

DaReUS-Loop requires an initial homology model, and can be used for either loop modeling or loop remodeling. For a single loop region, the results are identical. For multiple loop regions, remodeling typically gives more accurate results.

Karami Y, Rey J, Postic G, Murail S, Tufféry P, De Vries S.
DaReUS-Loop: a web server to model loops in homology models.


PEP-Cyclizer is a tool to assist the design of head-to-tail peptide cyclization, a well known strategy to enhance peptide resistance to enzymatic degradation and thus peptide bioavailability.

PEP-Cyclizer adresses two complementary features:

  1. The search for candidate sequences compatible with the cyclization of the peptide, a facility to assist medicinal chemists.
  2. The generation of 3D models of a cyclic peptide starting from the 3D structure of the un-cylized peptide and the sequence of the cyclized peptide, a preliminary step for further peptide conformational stability analysis, or peptide-receptor docking.
Karami Y, Rey J, Murail S, Giribaldi J, De Vries S, Tufféry P.
PEP-Cyclizer: a web server for sequence and structure prediction of peptide head-to-tail cyclization.


PEP-FOLD is a de novo approach aimed at predicting peptide structures from amino acid sequences.

This method, based on structural alphabet SA letters to describe the conformations of four consecutive residues, couples the predicted series of SA letters to a greedy algorithm and a coarse-grained force field.

Lamiable A, Thévenet P, Rey J, Vavrusa M, Derreumaux P, Tufféry P.
PEP-FOLD3: faster de novo structure prediction for linear peptides in solution and in complex.
Nucleic Acids Res. 2016 Jul 8;44(W1):W449-54.
Shen Y, Maupetit J, Derreumaux P, Tufféry P.
Improved PEP-FOLD approach for peptide and miniprotein structure prediction
J. Chem. Theor. Comput. 2014; 10:4745-4758
Thévenet P, Shen Y, Maupetit J, Guyon F, Derreumaux P, Tufféry P.
PEP-FOLD: an updated de novo structure prediction server for both linear and disulfide bonded cyclic peptides.
Nucleic Acids Res. 2012 Jul;40(Web Server issue):W288-93.
Maupetit J, Derreumaux P, Tufféry P.
A fast and accurate method for large-scale de novo peptide structure prediction.
J Comput Chem. 2010 Mar;31(4):726-38.
Maupetit J, Derreumaux P, Tufféry P.
PEP-FOLD: an online resource for de novo peptide structure prediction.
Nucleic Acids Res. 2009 Jul;37(Web Server issue):W498-503.


SABBAC is an on-line service devoted to protein backbone reconstruction from alpha-carbon trace. It is based on the assembly of fragments issued from library of reduced size, resulting from the encoding of the protein trace in an HMM-derived structural alphabet. The assembly of the fragments is achieved by a greedy algorithm, using an energy based scoring inspired from the OPEP force field. Alpha-carbon coordinates remain unaffected. SABBAC simply positions the missing backbone atoms, no further refinement is performed. From our tests, SABBAC performs equal or better than other similar online approach and is robust to deviations on the alpha-carbon coordinates.

Maupetit J, Gautier R, Tufféry P.
SABBAC: online Structural Alphabet-based protein BackBone reconstruction from Alpha-Carbon trace.
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W147-51.


SA-Frag is a service that will, given an amino acid sequence, return 3D fragments predicted to match the various positions of the sequence. SA-Frag will thus return an alignement of the fragments identified with the query and a collection of 3D structures corresponding to the fragments in the PDB format.

Shen Y, Picord G, Guyon F, Tufféry P.
Detecting protein candidate fragments using a structural alphabet profile comparison approach.
PLoS One. 2013 Nov 26;8(11)


pepATTRACT is a novel docking protocol that is fully blind, i.e. it does not require any information about the binding site. Nevertheless, its performance is similar or better than state-of-the-art local docking protocols that do require binding site information.

Here we present a Web server for pepATTRACT, carrying out only the rigid-body stage of the protocol, performing docking runs in about 10 minutes. Combined with the fact that it is fully blind, this makes the Web server well-suited for proteome-wide in silico protein-peptide docking experiments.

De Vries SJ, Rey J, Schindler CEM, Zacharias M, Tuffery P.
The pepATTRACT web server for blind, large-scale peptide-protein docking.
Nucleic Acids Res. 2017 Apr 29.


PEP-SiteFinder is a service aimed at identifying patches on a protein surface, which a peptide of specified sequence is likely to interact with.

Saladin A, Rey J, Thevenet P, Zacharias M, Moroy G, Tufféry P.
PEP-SiteFinder: a tool for the blind indentification of peptide binding sites on protein surfaces.
Nucleic Acids Res. 2014 May 6.


HHalign-Kbest is useful to automatically obtain optimized alignments and models in case of low sequence identity (<35%) between a query and a template protein. It can generate k suboptimal (e.g. top-k scoring) alignments rather than only the optimal one which may contain small to large errors.

Yu J, Picord G, Tufféry P, Guerois R.
HHalign-KBest: exploring sub-optimal alignments for remote homology comparative modeling
Bioinformatics. 2015 Dec 1;31(23):3850-2.


InterEvDock is a server for protein docking running the InterEvScore potential specifically designed to integrate evolutionary information in the docking process. The InterEvScore potential was developed for heteromeric protein interfaces and combines a residue-based multi-body statistical potential with evolutionary information derived from the multiple sequence alignments of each partner in the complex.

Quignot C, Postic G, Bret H, Rey J, Granger P, Murail S, Chacón P, Andreani J, Tufféry P, Guerois R.
InterEvDock3: a combined template-based and free docking server with increased performance through explicit modeling of complex homologs and integration of covariation-based contact maps.
Nucleic Acids Res. 2021 Jul 2;49(W1):W277-W284.
Quignot C, Rey J, Yu J, Tufféry P, Guerois R, Andreani J.
InterEvDock2: an expanded server for protein docking using evolutionary and biological information from homology models and multimeric inputs.
Nucleic Acids Res. 2018 Jul 2;46(W1):W408-W416.
Yu J, Vavrusa M, Andreani J, Rey J, Tufféry P, Guerois R.
InterEvDock: a docking server to predict the structure of protein-protein interactions using evolutionary information.
Nucleic Acids Res. 2016 Jul 8;44(W1):W542-9.
Andreani J, Faure G, Guerois R.
InterEvScore: a novel coarse-grained interface scoring function using a multi-body statistical potential coupled to evolution.
Bioinformatics. 2013 29(14):1742-9.


Proteo3Dnet is a web server dedicated to the analysis of mass spectrometry interactomics experiments. Given a flat list of proteins, its aim is to organize it in terms of structural interactions to provide a clearer overview of the data. This is achieved using three means:

  1. the search for interologs with resolved structure available in the protein data bank, including cross-species remote homology search,
  2. the search for possibly weaker interactions mediated through Short Linear Motifs as predicted by ELM-a unique feature of Proteo3Dnet,
  3. the search for protein-protein interactions physically validated in the BioGRID database.
Postic G, Andreani J, Marcoux J, Reys V, Guerois R, Rey J, Mouton-Barbosa E, Vandenbrouck Y, Cianferani S, Burlet-Schiltz O, Labesse G, Tufféry P.
Proteo3Dnet: a web server for the integration of structural information with interactomics data
Nucleic Acids Res. 2021 Jul 2;49(W1):W567-W572.


fpocket is a very fast, open source protein pocket (cavity) detection algorithm based on Voronoi tessellation. It was developed in the C programming language and is currently available as command line driven program, and from now as a web server too.

Since its first release, the new package mdpocket has been developped. This package has been designed to track cavities on different, aligned protein structures, and thus can be used to:

  • track protein cavities during molecular dynamics trajectories (original goal)
  • search for conserved pockets in protein families

Currently available as a web server only, mdpocket will be released in the fpocket official distribution as soon as the corresponding scientific paper will be published.

Schmidtke P, Le Guilloux V, Maupetit J, Tufféry P.
fpocket: online tools for protein ensemble pocket detection and tracking.
Nucleic Acids Res. 2010 Jul;38(Web Server issue):W582-9.
Le Guilloux V, Schmidtke P, Tufféry P.
Fpocket: An open source platform for ligand pocket detection.
BMC Bioinformatics. 2009 Jun 2;10:168.


iSuperpose performs the 3D superposition of protein structures by best superimposing the alpha-carbons (or the backbone) of the proteins given a alignment specifying the correspondence between the structures. If no alignment is provided, a structural alignment will be calculated using TMalign. One the alignement is identified, the superposition is achieved using a quaternion based procedure using a specific eigen value calculation implementation. See QBestFit.

Maupetit J, Tufféry P.


MIR is a program that allows to determine residues involved in the core of proteins. A Monte Carlo algorithm is used to simulate the early steps of protein folding and the mean number of neighbours is calculated after 10 steps. Residues surrounded by many others may play a role in the compactness of the protein and thus are called Most Interacting Residues (MIR).

Acuña R, Lacroix Z, Papandreou N, Chomilier J.
Protein intrachain contact prediction with most interacting residues (MIR).
Bio-Algorithms and Med-Systems 2014 Nov 27;10(4):227-242
Chomilier J, Lamarine M, Mornon J-P, Torres JH, Eliopoulos E, Papandreou N.
Analysis of fragments induced by simulated lattice protein folding.
C R Biol. 2004 May;327(5):431-43.
Papandreou N, Berezovsky IN, Lopes A, Eliopoulos E, Chomilier J.
Universal positions in globular proteins.
Eur J Biochem. 2004 Dec;271(23-24):4762-8.


PCE performs the calculation of the electrostatic potentials for a protein by solving numerically the Poisson-Boltzmann equation (the Finite Difference Poisson- Boltzmann method, FDPB). It is a server adaptation of the MEAD potential program (MEAD: Macroscopic Electrostatics with Atomic Detail, D. Bashford).

Two types of services are currently proposed: electrostatic potentials calculation and pKa calculations.

Miteva M, Tufféry P, Villoutreix BO.
PCE: web tools to compute Protein Continuum Electrostatics.
Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W372-5.


SPROUTS has been designed to give scientists access to data related to protein folding prediction. In this scope, we processed a set of proteins on five different tools devoted to the prediction of stability changes upon point mutation. We also propose the results obtained with two methods devoted for one to the direct prediction of residues involved in the core of a protein structure and for the other, the characterization of fragments which ends are assumed to be part of the folding nucleus.

Lonquety M, Lacroix Z, Papandreou N, and Chomilier J.
SPROUTS: a database for the evaluation of protein stability upon point mutation.
Nucleic Acids Res. 2009 Jan;37(Database issue):D374-9.


TEF is an open-source software for decomposing protein structures into simpler yet informative units named Tightened End Fragments (or closed loops), which can be studied independently to understand protein architecture, folding, and evolution.

Stratmann D, Pathmanathan JS, Postic G, Rey J, Chomilier J.
TEF2.0: a graph-based method for decomposing protein structures into closed loops.
Lamarine M, Mornon JP, Berezovsky N, Chomilier J.
Distribution of tightened end fragments of globular proteins statistically matches that of topohydrophobic positions: towards an efficient punctuation of protein folding?
Cell Mol Life Sci. 2001 Mar;58(3):492-8.


The ProPHet program combines a coarse-grain / elastic network (ENM) protein model and a Brownian Dynamics algorithm to compute protein local rigidity on the residue level.

The program uses a PDB structural file as a starting point and will produce a rigidity profile of the protein under study with a force constant value for each residue in the protein.

Sacquin-Mora S.
Motions and mechanics: investigating conformational transitions in multi-domain proteins with coarse-grain simulations.
Mol. Simul. 2014, 229-236.


ArchCandy program detects regions in protein sequences that have a potential to form amyloids.

This program allows :

  • to distinguish between amyloidogenic and non-amyloidogenic sequences
  • to localize the amyloidogenic regions within the protein
  • to explain the effect of mutations on the amyloid forming potential
  • to predict the 3D structures of amyloid fibrils.
Ahmed AB, Znassi N, Château MT, Kajava AV.
A structure-based approach to predict predisposition to amyloidosis.
Alzheimers Dement. 2015 Jun;11(6):681-90.


The BetaSerpentine program searches for possible amyloid-related β-serpentines within a protein and output them in order of preference starting from the highest score.

Bondarev SA, Bondareva OV, Zhouravleva GA, Kajava AV.
BetaSerpentine: a bioinformatics tool for reconstruction of amyloid structures.
Bioinformatics. 2018 Feb 15;34(4):599-608.


T-REKS is an algorithm for de novo detection and alignment of repeats in sequences based on K-means algorithm. Minimal length of repeat arrays is 9 for true homorepeats and 14 for other repeats with potential biological meaning.

Jorda J, Kajava AV.
T-REKS: identification of Tandem REpeats in sequences with a K-meanS based algorithm.
Bioinformatics. 2009 Oct 15;25(20):2632-8.


TAPO (TAndemPrOtein detector) is a program for the automatic identification of tandemly repeated elements in protein structures. It can be also used to regularly update the collection and classification of existing repetitive structures.

Do Viet P, Roche DB, Kajava AV.
TAPO: A combined method for the identification of tandem repeats in protein structures.
FEBS Lett. 2015 Sep 14;589(19 Pt A):2611-9.