| PEP-FOLD3: faster de novo structure prediction for linear peptides in solution and in complex A Lamiable, P Thévenet, J Rey, M Vavrusa, P Derreumaux, P Tufféry Nucleic acids research 44 (W1), W449-W454, 2016 | 939 | 2016 |
| Order in disorder as observed by the “hydrophobic cluster analysis” of protein sequences T Bitard‐Feildel, A Lamiable, JP Mornon, I Callebaut Proteomics 18 (21-22), 1800054, 2018 | 30 | 2018 |
| Automated prediction of three-way junction topological families in RNA secondary structures A Lamiable, D Barth, A Denise, F Quessette, S Vial, E Westhof Computational Biology and Chemistry 37, 1-5, 2012 | 26 | 2012 |
| An algorithmic game-theory approach for coarse-grain prediction of RNA 3D structure A Lamiable, F Quessette, S Vial, D Barth, A Denise IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012 | 22 | 2012 |
| Revealing invisible cell phenotypes with conditional generative modeling A Lamiable, T Champetier, F Leonardi, E Cohen, P Sommer, D Hardy, ... Nature Communications 14 (1), 6386, 2023 | 17 | 2023 |
| A topology-based investigation of protein interaction sites using hydrophobic cluster analysis A Lamiable, T Bitard-Feildel, J Rebehmed, F Quintus, F Schoentgen, ... Biochimie 167, 68-80, 2019 | 13 | 2019 |
| A critical assessment of hidden markov model sub‐optimal sampling strategies applied to the generation of peptide 3D models A Lamiable, P Thévenet, P Tufféry Journal of computational chemistry 37 (21), 2006-2016, 2016 | 13 | 2016 |
| No free lunch in self supervised representation learning I Bendidi, A Bardes, E Cohen, A Lamiable, G Bollot, A Genovesio arXiv preprint arXiv:2304.11718, 2023 | 9 | 2023 |
| Discovery and evolution of new domains in yeast heterochromatin factor Sir4 and its partner Esc1 G Faure, K Jézéquel, F Roisné-Hamelin, T Bitard-Feildel, A Lamiable, ... Genome Biology and Evolution 11 (2), 572-585, 2019 | 9 | 2019 |
| Spatial Frequency Reuse in a Novel Generation of PMR Networks A Lamiable, J Tomasik IEEE WCNC 2013, 2013 | 8 | 2013 |
| Validation of spectrum management schemes for PMR networks based on LTE with interference detection A Lamiable, J Tomasik 2013 IFIP Wireless Days (WD), 1-4, 2013 | 3 | 2013 |
| Peptide suboptimal conformation sampling for the prediction of protein-peptide interactions A Lamiable, P Thévenet, S Eustache, A Saladin, G Moroy, P Tuffery Modeling Peptide-Protein Interactions: Methods and Protocols, 21-34, 2017 | 1 | 2017 |
| Web services and client packages as a framework for data mining on the neighborhood of organized sets of biological sequences R Barriot, A Lamiable Proceedings of the 12$^{th} $ International Conference on Intelligent …, 2004 | 1 | 2004 |
| Exploring self-supervised learning biases for microscopy image representation I Bendidi, A Bardes, E Cohen, A Lamiable, G Bollot, A Genovesio Biological Imaging 4, e12, 2024 | | 2024 |
| Frequency reuse with incomplete information in a novel generation of PMR networks A Lamiable, J Tomasik 2014 7th IFIP Wireless and Mobile Networking Conference (WMNC), 1-8, 2014 | | 2014 |
| Graph Algorithms and Software Framework for Interactive RNA Structure Modelling F Jossinet, A Lamiable, P Rinaudo, L Al-Shikhley, F Quessette, S Vial, ... Journees Ouvertes de Biologie Informatique et Mathematiques-JOBIM'12, 475-476, 2012 | | 2012 |
| Méthodes de théorie des jeux pour la prédiction de la structure 3D de l'ARN A Lamiable Université de Versailles-Saint Quentin en Yvelines, 2011 | | 2011 |
| Classification automatique en famille des jonctions triples de l'ARN D Barth, A Denise, A Lamiable, F Quessette, S Vial Proc. JOBIM, 65-66, 2008 | | 2008 |
| Algorithmes de planification d’experiences pour la determination de reseaux d’interactions de proteines A Lamiable, D Barth Journée thématique RIAMS «Réseaux d’interaction: analyse, modélisation et …, 2005 | | 2005 |
| Mémoire de Master Recherche A Lamiable | | 2004 |
Alain DeniseUniversité Paris-SaclayVerified email at lri.fr
