M. Stumpf, T. Thorne, E. De-silva, R. S. An, and H. , Estimating the size of the human interactome, Proceedings of the National Academy of Sciences, vol.105, issue.19, pp.6959-6964, 2008.
DOI : 10.1073/pnas.0708078105

T. Berg, Small-Molecule Inhibitors of Protein???Protein Interactions, Curr Opin Drug Discov Devel, vol.11, pp.666-674, 2008.
DOI : 10.1142/9781848163409_0012

D. Fry, Drug-Like Inhibitors of Protein-Protein Interactions: A Structural Examination of Effective Protein Mimicry, Current Protein & Peptide Science, vol.9, issue.3, pp.240-247, 2008.
DOI : 10.2174/138920308784533989

B. Villoutreix, K. Bastard, O. Sperandio, R. Fahraeus, and J. Poyet, In Silico-In Vitro Screening of Protein-Protein Interactions: Towards the Next Generation of Therapeutics, Current Pharmaceutical Biotechnology, vol.9, issue.2, pp.103-122, 2008.
DOI : 10.2174/138920108783955218
URL : https://hal.archives-ouvertes.fr/inserm-00273685

J. Wells and C. Mcclendon, Reaching for high-hanging fruit in drug discovery at protein???protein interfaces, Nature, vol.12, issue.7172, pp.1001-1009, 2007.
DOI : 10.1038/nature06526

A. Whitty and G. Kumaravel, Between a rock and a hard place?, Nature Chemical Biology, vol.119, issue.3, pp.112-118, 2006.
DOI : 10.1038/nchembio0306-112

J. Fuller, N. Burgoyne, and R. Jackson, Predicting druggable binding sites at the protein???protein interface, Drug Discovery Today, vol.14, issue.3-4, pp.155-161, 2009.
DOI : 10.1016/j.drudis.2008.10.009

M. Arkin and A. Whitty, The road less traveled: modulating signal transduction enzymes by inhibiting their protein???protein interactions, Current Opinion in Chemical Biology, vol.13, issue.3, pp.284-290, 2009.
DOI : 10.1016/j.cbpa.2009.05.125

B. Shoichet, Virtual screening of chemical libraries, Nature, vol.55, issue.7019, pp.862-865, 2004.
DOI : 10.1093/nar/30.1.255

P. Chene, Drugs Targeting Protein???Protein Interactions, ChemMedChem, vol.22, issue.4, pp.400-411, 2006.
DOI : 10.1002/cmdc.200600004

S. Eyrisch and V. Helms, Transient Pockets on Protein Surfaces Involved in Protein???Protein Interaction, Journal of Medicinal Chemistry, vol.50, issue.15, pp.3457-3464, 2007.
DOI : 10.1021/jm070095g

D. Clark, What has virtual screening ever done for drug discovery?, Expert Opinion on Drug Discovery, vol.10, issue.8, pp.841-851, 2008.
DOI : 10.1080/17517575.2012.683812

J. Davies, M. Glick, and J. Jenkins, Streamlining lead discovery by aligning in silico and high-throughput screening, Current Opinion in Chemical Biology, vol.10, issue.4, pp.343-351, 2006.
DOI : 10.1016/j.cbpa.2006.06.022

O. Keskin, N. Tuncbag, and A. Gursoy, Characterization and Prediction of Protein Interfaces to Infer Protein-Protein Interaction Networks, Current Pharmaceutical Biotechnology, vol.9, issue.2, pp.67-76, 2008.
DOI : 10.2174/138920108783955191

D. Kitchen, H. Decornez, J. Furr, and J. Bajorath, Docking and scoring in virtual screening for drug discovery: methods and applications, Nature Reviews Drug Discovery, vol.8, issue.11, pp.935-949, 2004.
DOI : 10.1021/jm010016f

J. Rochet, Novel therapeutic strategies for the treatment of proteinmisfolding diseases, Expert Rev Mol Med, vol.9, pp.1-34, 2007.

B. Stockwell, Exploring biology with small organic molecules, Nature, vol.12, issue.7019, pp.846-854, 2004.
DOI : 10.1016/j.cbpa.2004.04.003

C. Thanos, W. Delano, and J. Wells, Hot-spot mimicry of a cytokine receptor by a small molecule, Proceedings of the National Academy of Sciences, vol.103, issue.42, pp.15422-15427, 2006.
DOI : 10.1073/pnas.0607058103

A. Orry, R. Abagyan, and C. Cavasotto, Structure-based development of target-specific compound libraries, Drug Discovery Today, vol.11, issue.5-6, pp.261-266, 2006.
DOI : 10.1016/S1359-6446(05)03717-7

M. Arkin, Protein???protein interactions and cancer: small molecules going in for the kill, Current Opinion in Chemical Biology, vol.9, issue.3, pp.317-324, 2005.
DOI : 10.1016/j.cbpa.2005.03.001

O. Keskin, A. Gursoy, B. Ma, and R. Nussinov, Principles of Protein???Protein Interactions: What are the Preferred Ways For Proteins To Interact?, Chemical Reviews, vol.108, issue.4, pp.1225-1244, 2008.
DOI : 10.1021/cr040409x

L. Pagliaro, J. Felding, K. Audouze, S. Nielsen, and R. Terry, Emerging classes of protein???protein interaction inhibitors and new tools for their development, Current Opinion in Chemical Biology, vol.8, issue.4, pp.442-449, 2004.
DOI : 10.1016/j.cbpa.2004.06.006

H. Yin and A. Hamilton, Strategies for Targeting Protein-Protein Interactions With Synthetic Agents, Angewandte Chemie International Edition, vol.18, issue.27, pp.4130-4163, 2005.
DOI : 10.1002/anie.200461786

D. Fry, Protein???protein interactions as targets for small molecule drug discovery, Biopolymers, vol.47, issue.6, pp.535-552, 2006.
DOI : 10.1002/bip.20608

C. Kingsford and S. Salzberg, What are decision trees?, Nature Biotechnology, vol.21, issue.9, pp.1011-1013, 2008.
DOI : 10.1038/nbt0908-1011

A. Neugebauer, R. Hartmann, and C. Klein, Prediction of Protein???Protein Interaction Inhibitors by Chemoinformatics and Machine Learning Methods, Journal of Medicinal Chemistry, vol.50, issue.19, pp.4665-4668, 2007.
DOI : 10.1021/jm070533j

J. Vert and L. Jacob, Machine Learning for In Silico Virtual Screening and Chemical Genomics: New Strategies, Combinatorial Chemistry & High Throughput Screening, vol.11, issue.8, pp.677-685, 2008.
DOI : 10.2174/138620708785739899
URL : https://hal.archives-ouvertes.fr/hal-00433569

R. Todeschini and V. Conconni, Handbook of molecular descriptors, 2000.
DOI : 10.1002/9783527613106

D. Wishart, C. Knox, A. Guo, S. Shrivastava, and M. Hassanali, DrugBank: a comprehensive resource for in silico drug discovery and exploration, Nucleic Acids Research, vol.34, issue.90001, pp.668-672, 2006.
DOI : 10.1093/nar/gkj067

M. Gonzalez, M. Puente, Y. Fall, and G. Gomez, In silico studies using Radial Distribution Function approach for predicting affinity of 1??,25-dihydroxyvitamin D3 analogues for Vitamin D receptor, Steroids, vol.71, issue.6, pp.510-527, 2006.
DOI : 10.1016/j.steroids.2006.02.001

M. Fernandez, Quantitative structure???activity relationship to predict differential inhibition of aldose reductase by flavonoid compounds, Bioorganic & Medicinal Chemistry, vol.13, issue.9, pp.3269-3277, 2005.
DOI : 10.1016/j.bmc.2005.02.038

M. Hemmer, Prediction of three-dimensional molecular structures using information from infrared spectra, Analytica Chimica Acta, vol.420, issue.2, pp.145-154, 2000.
DOI : 10.1016/S0003-2670(00)00876-X

M. Hemmer, Deriving the 3D structure of organic molecules from their infrared spectra, Vibrational Spectroscopy, vol.19, issue.1, pp.151-164, 1999.
DOI : 10.1016/S0924-2031(99)00014-4

A. Domling, Small molecular weight protein???protein interaction antagonists???an insurmountable challenge?, Current Opinion in Chemical Biology, vol.12, issue.3, pp.281-291, 2008.
DOI : 10.1016/j.cbpa.2008.04.603

O. Boyle, N. Morley, C. Hutchison, and G. , Pybel: a Python wrapper for the OpenBabel cheminformatics toolkit, Chemistry Central Journal, vol.2, issue.1, p.5, 2008.
DOI : 10.1186/1752-153X-2-5

D. Lagorce, O. Sperandio, H. Galons, M. Miteva, and B. Villoutreix, FAF-Drugs2: Free ADME/tox filtering tool to assist drug discovery and chemical biology projects, BMC Bioinformatics, vol.9, issue.1, p.396, 2008.
DOI : 10.1186/1471-2105-9-396

M. Candeias, L. Malbert-colas, D. Powell, C. Daskalogianni, and M. Maslon, p53 mRNA controls p53 activity by managing Mdm2 functions, P53 mRNA controls p53 activity by managing Mdm2 functions, pp.1098-1105, 2008.
DOI : 10.1016/0022-1759(95)00072-I

N. Naski, M. Gajjar, K. Bourougaa, L. Malbert-colas, and R. Fahraeus, The p53 mRNA-Mdm2 interaction, Cell Cycle, vol.8, issue.1, pp.31-34, 2009.
DOI : 10.4161/cc.8.1.7326

S. Patel and M. Player, Small-molecule inhibitors of the p53-HDM2 interaction for the treatment of cancer, Expert Opinion on Investigational Drugs, vol.49, issue.12, pp.1865-1882, 2008.
DOI : 10.1074/jbc.M501664200

L. Vassilev, B. Vu, B. Graves, D. Carvajal, and F. Podlaski, In Vivo Activation of the p53 Pathway by Small-Molecule Antagonists of MDM2, Science, vol.303, issue.5659, pp.844-848, 2004.
DOI : 10.1126/science.1092472

P. Raboisson, J. Marugan, C. Schubert, H. Koblish, and T. Lu, Structure-based design, synthesis, and biological evaluation of novel 1,4-diazepines as HDM2 antagonists, Bioorganic & Medicinal Chemistry Letters, vol.15, issue.7, pp.1857-1861, 2005.
DOI : 10.1016/j.bmcl.2005.02.018

K. Ding, Y. Lu, Z. Nikolovska-coleska, S. Qiu, and Y. Ding, Structure-Based Design of Potent Non-Peptide MDM2 Inhibitors, Journal of the American Chemical Society, vol.127, issue.29, pp.10130-10131, 2005.
DOI : 10.1021/ja051147z

K. Ding, Y. Lu, Z. Nikolovska-coleska, G. Wang, and S. Qiu, Structure-Based Design of Spiro-oxindoles as Potent, Specific Small-Molecule Inhibitors of the MDM2???p53 Interaction, Journal of Medicinal Chemistry, vol.49, issue.12, pp.3432-3435, 2006.
DOI : 10.1021/jm051122a

B. Booth and R. Zemmel, Opinion/Outlook: Prospects for productivity, Nature Reviews Drug Discovery, vol.5, issue.5, pp.451-456, 2004.
DOI : 10.1038/nrd1012

M. Von-grotthuss, G. Koczyk, J. Pas, L. Wyrwicz, and L. Rychlewski, Ligand.Info Small-Molecule Meta-Database, Combinatorial Chemistry & High Throughput Screening, vol.7, issue.8, pp.757-761, 2004.
DOI : 10.2174/1386207043328265