Atomic Coordinates and Structure Factors for Two Helical Configurations of Polypeptide Chains, Proceedings of the National Academy of Sciences, vol.37, issue.5, pp.235-240, 1951. ,
DOI : 10.1073/pnas.37.5.235
The Pleated Sheet, A New Layer Configuration of Polypeptide Chains, Proceedings of the National Academy of Sciences, vol.37, issue.5, pp.251-256, 1951. ,
DOI : 10.1073/pnas.37.5.251
Dictionary of protein secondary structure: Pattern recognition of hydrogen-bonded and geometrical features, Biopolymers, vol.33, issue.12, pp.2577-2637, 1983. ,
DOI : 10.1002/bip.360221211
Knowledge-based protein secondary structure assignment, Proteins: Structure, Function, and Genetics, vol.206, issue.4, pp.566-579, 1995. ,
DOI : 10.1002/prot.340230412
Identification of structural motifs from protein coordinate data: Secondary structure and first-level supersecondary structure, Proteins: Structure, Function, and Genetics, vol.72, issue.2, pp.71-84, 1988. ,
DOI : 10.1002/prot.340030202
Describing protein structure: A general algorithm yielding complete helicoidal parameters and a unique overall axis, Proteins: Structure, Function, and Genetics, vol.6, issue.1, pp.46-60, 1989. ,
DOI : 10.1002/prot.340060105
URL : https://hal.archives-ouvertes.fr/hal-00313453
P-SEA: a new efficient assignment of secondary structure from C?, Comput Appl Biosci, vol.13, pp.291-295, 1997. ,
Comparison of three algorithms for the assignment of secondary structure in proteins: the advantages of a consensus assignment, "Protein Engineering, Design and Selection", vol.6, issue.4, pp.377-382, 1993. ,
DOI : 10.1093/protein/6.4.377
URL : https://hal.archives-ouvertes.fr/hal-00310605
Review: Protein Secondary Structure Prediction Continues to Rise, Journal of Structural Biology, vol.134, issue.2-3, pp.204-218, 2001. ,
DOI : 10.1006/jsbi.2001.4336
Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles, Proteins: Structure, Function, and Genetics, vol.47, issue.2, pp.228-235, 2002. ,
DOI : 10.1002/prot.10082
Prediction of Tight Turns and Their Types in Proteins, Analytical Biochemistry, vol.286, issue.1, pp.1-16, 2000. ,
DOI : 10.1006/abio.2000.4757
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
Structural classification of ?????? and ?????? supersecondary structure units in proteins, Proteins: Structure, Function, and Genetics, vol.3, issue.2, pp.193-212, 1998. ,
DOI : 10.1002/(SICI)1097-0134(19980201)30:2<193::AID-PROT9>3.0.CO;2-O
New efficient statistical sequence-dependent structure prediction of short to medium-sized protein loops based on an exhaustive loop classification, J Mol Biol, vol.289, pp.1469-1490, 1999. ,
Beyond the secondary structures: the structural alphabets, Recent Adv In Prot Eng Edited by: Sangadai SG, pp.319-331 ,
Evaluating local structure alphabets for protein structure prediction, 2003. ,
Small Libraries of Protein Fragments Model Native Protein Structures Accurately, Journal of Molecular Biology, vol.323, issue.2, pp.297-307, 2002. ,
DOI : 10.1016/S0022-2836(02)00942-7
Prediction of local structure in proteins using a library of sequence-structure motifs, Journal of Molecular Biology, vol.281, issue.3, pp.565-577, 1998. ,
DOI : 10.1006/jmbi.1998.1943
Bayesian probabilistic approach for predicting backbone structures in terms of protein blocks, Proteins: Structure, Function, and Genetics, vol.7, issue.3, pp.271-287, 2000. ,
DOI : 10.1002/1097-0134(20001115)41:3<271::AID-PROT10>3.0.CO;2-Z
URL : https://hal.archives-ouvertes.fr/inserm-00132821
Compacting local protein folds with a "hybrid protein model", Theoretical Chemistry Accounts: Theory, Computation, and Modeling (Theoretica Chimica Acta), vol.106, issue.1-2, pp.36-47, 2001. ,
DOI : 10.1007/s002140000227
'Hybrid Protein Model' for optimally defining 3D protein structure fragments, Bioinformatics, vol.19, issue.3, pp.345-353, 2003. ,
DOI : 10.1093/bioinformatics/btf859
URL : https://hal.archives-ouvertes.fr/inserm-00133632
Hybrid protein model (HPM): a method for building a library of overlapping local structural prototypes. Sensitivity study and improvements of the training, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718), pp.53-70, 2003. ,
DOI : 10.1109/NNSP.2003.1318004
URL : https://hal.archives-ouvertes.fr/inserm-00133639
Extension of a local backbone description using a structural alphabet ,
URL : https://hal.archives-ouvertes.fr/inserm-00143374