B. Sibanda and J. Thornton, ??-Hairpin families in globular proteins, Nature, vol.19, issue.6024, pp.170-074, 1985.
DOI : 10.1038/316170a0

M. Rooman, J. Rodriguez, and S. Wodak, Automatic definition of recurrent local structure motifs in proteins, Journal of Molecular Biology, vol.213, issue.2, pp.327-336, 1990.
DOI : 10.1016/S0022-2836(05)80194-9

R. Wintjens, M. Rooman, and S. Wodak, Automatic Classification and Analysis of ????-Turn Motifs in Proteins, Journal of Molecular Biology, vol.255, issue.1, pp.235-253, 1996.
DOI : 10.1006/jmbi.1996.0020

C. Wilmot and J. Thornton, -Turns and their distortions: a proposed new nomenclature, "Protein Engineering, Design and Selection", vol.3, issue.6, pp.479-493, 1990.
DOI : 10.1093/protein/3.6.479

URL : https://hal.archives-ouvertes.fr/hal-00976690

R. Fine, H. Wang, P. Shenkin, D. Yarmush, and C. Levinthal, Predicting antibody hypervariable loop conformations II: Minimization and molecular dynamics studies of MCPC603 from many randomly generated loop conformations, Proteins: Structure, Function, and Genetics, vol.3, issue.4, pp.342-362, 1986.
DOI : 10.1002/prot.340010408

V. Collura, J. Higo, and J. Garnier, Modeling of protein loops by simulated annealing, Protein Science, vol.38, issue.9, pp.1502-1510, 1993.
DOI : 10.1002/pro.5560020915

R. Bruccoleri, E. Haber, and J. Novotny, Structure of antibody hypervariable loops reproduced by a conformational search algorithm, Nature, vol.335, issue.6190, pp.564-568, 1988.
DOI : 10.1038/335564a0

J. Moult and M. James, An algorithm for determining the conformation of polypeptide segments in proteins by systematic search, Proteins: Structure, Function, and Genetics, vol.II, issue.2, pp.146-163, 1986.
DOI : 10.1002/prot.340010207

A. Martin, K. Toda, H. Stirk, and J. Thorton, Long loops in proteins, "Protein Engineering, Design and Selection", vol.8, issue.11, pp.1093-1101, 1995.
DOI : 10.1093/protein/8.11.1093

H. Van-vlijmen and M. Karplus, PDB-based protein loop prediction: parameters for selection and methods for optimization, Journal of Molecular Biology, vol.267, issue.4, pp.975-1001, 1997.
DOI : 10.1006/jmbi.1996.0857

J. Kwasigroch, J. Chomilier, and J. Mornon, A Global Taxonomy of Loops in Globular Proteins, Journal of Molecular Biology, vol.259, issue.4, pp.855-872, 1996.
DOI : 10.1006/jmbi.1996.0363

L. Donate, S. Ruuno, L. Canard, and T. Blundell, Conformational analysis and clustering of short and medium size loops connecting regular secondary structures: A database for modeling and prediction, Protein Science, vol.6, issue.12, pp.2600-2616, 1996.
DOI : 10.1002/pro.5560051223

B. Olivia, P. Bates, E. Querol, F. Aviles, and M. Sternberg, An automated classification of the structure of protein loops, Journal of Molecular Biology, vol.266, issue.4, pp.814-830, 1997.
DOI : 10.1006/jmbi.1996.0819

J. Wojcik, J. Mornon, and J. Chomilier, New efficient statistical sequence-dependent structure prediction of short to medium-sized protein loops based on an exhaustive loop classification, Journal of Molecular Biology, vol.289, issue.5, pp.1469-1490, 1999.
DOI : 10.1006/jmbi.1999.2826

A. Camproux, P. Tuuery, J. Chevrolat, J. Boisvieux, and S. Hazout, Hidden Markov model approach for identifying the modular framework of the protein backbone, Protein Engineering Design and Selection, vol.12, issue.12, pp.1063-1073, 1999.
DOI : 10.1093/protein/12.12.1063

A. Camproux, P. Tuuery, L. Buuat, C. Andre, J. Boisvieux et al., Analyzing patterns between regular secondary structures using short structural building blocks defined by a hidden Markov model, Theoretical Chemistry Accounts: Theory, Computation, and Modeling (Theoretica Chimica Acta), vol.101, issue.1-3, pp.33-40, 1999.
DOI : 10.1007/s002140050402

L. Baum, T. Petrie, G. Soules, and N. Weiss, A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains, The Annals of Mathematical Statistics, vol.41, issue.1, p.164, 1970.
DOI : 10.1214/aoms/1177697196

U. Lessel and D. Schomburg, Importance of anchor group positioning in protein loop prediction, Proteins: Structure, Function, and Genetics, vol.44, issue.1, pp.56-64, 1999.
DOI : 10.1002/(SICI)1097-0134(19991001)37:1<56::AID-PROT6>3.0.CO;2-7