FoldX 5.0: Working with RNA, small molecules and a new graphical interface LG Radusky, J Delgado, D Cianferoni, L Serrano Bioinformatics, 2019 | 261* | 2019 |
Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics RG Parra, NP Schafer, LG Radusky, MY Tsai, AB Guzovsky, PG Wolynes, ... Nucleic acids research 44 (W1), W356-W360, 2016 | 199 | 2016 |
Protein frustratometer: a tool to localize energetic frustration in protein molecules M Jenik, RG Parra, LG Radusky, A Turjanski, PG Wolynes, DU Ferreiro Nucleic acids research 40 (W1), W348-W351, 2012 | 168 | 2012 |
PDBe-KB: a community-driven resource for structural and functional annotations M Varadi, J Berrisford, M Deshpande, SS Nair, A Gutmanas, D Armstrong, ... Nucleic Acids Research 48 (D1), D344-D353, 2020 | 75 | 2020 |
Target-Pathogen: a structural bioinformatic approach to prioritize drug targets in pathogens EJ Sosa, G Burguener, E Lanzarotti, L Defelipe, L Radusky, AM Pardo, ... Nucleic acids research 46 (D1), D413-D418, 2018 | 58 | 2018 |
Evolutionary and functional relationships in the truncated hemoglobin family JP Bustamante, L Radusky, L Boechi, DA Estrin, A Ten Have, MA Martí PLoS computational biology 12 (1), e1004701, 2016 | 45 | 2016 |
TuberQ: a Mycobacterium tuberculosis protein druggability database L Radusky, LA Defelipe, E Lanzarotti, J Luque, X Barril, MA Marti, ... Database 2014, 2014 | 43 | 2014 |
PDBe-KB: collaboratively defining the biological context of structural data Nucleic acids research 50 (D1), D534-D542, 2022 | 32 | 2022 |
FrustratometeR: an R-package to compute local frustration in protein structures, point mutants and MD simulations AO Rausch, MI Freiberger, CO Leonetti, DM Luna, LG Radusky, ... Bioinformatics 37 (18), 3038-3040, 2021 | 29 | 2021 |
FoldX accurate structural protein–DNA binding prediction using PADA1 (Protein Assisted DNA Assembly 1) L Radusky, JD Blanco, H Climente-González, L Serrano Nucleic acids research 46 (8), 3852-3863, 2018 | 25 | 2018 |
A whole genome bioinformatic approach to determine potential latent phase specific targets in Mycobacterium tuberculosis LA Defelipe, DF Do Porto, PIP Ramos, MF Nicolás, E Sosa, L Radusky, ... Tuberculosis 97, 181-192, 2016 | 23 | 2016 |
An integrated structural proteomics approach along the druggable genome of Corynebacterium pseudotuberculosis species for putative druggable targets LG Radusky, SS Hassan, E Lanzarotti, S Tiwari, SB Jamal, J Ali, A Ali, ... BMC genomics 16, 1-8, 2015 | 22 | 2015 |
Using crystallographic water properties for the analysis and prediction of lectin–carbohydrate complex structures C Modenutti, D Gauto, L Radusky, J Blanco, A Turjanski, S Hajos, ... Glycobiology 25 (2), 181-196, 2015 | 22 | 2015 |
VarQ: a tool for the structural and functional analysis of human protein variants L Radusky, C Modenutti, J Delgado, JP Bustamante, S Vishnopolska, ... Frontiers in Genetics 9, 620, 2018 | 16 | 2018 |
Protein-assisted RNA fragment docking (RnaX) for modeling RNA–protein interactions using ModelX LG Radusky, JD Blanco, D Cianferoni, L Serrano Proceedings of the National Academy of Sciences, 2019 | 12 | 2019 |
The Druggable Pocketome of Corynebacterium diphtheriae: A New Approach for in silico Putative Druggable Targets LG Radusky, SS Hassan, SB Jamal, S Tiwari, A Ullah, J Ali, ... Frontiers in genetics 9, 44, 2018 | 10 | 2018 |
Using protein-per-mRNA differences among human tissues in codon optimization X Hernandez-Alias, H Benisty, LG Radusky, L Serrano, MH Schaefer Genome Biology 24 (1), 34, 2023 | 9 | 2023 |
pyFoldX: enabling biomolecular analysis and engineering along structural ensembles LG Radusky, L Serrano Bioinformatics 38 (8), 2353-2355, 2022 | 7 | 2022 |
Genes enriched in A/T-ending codons are co-regulated and conserved across mammals H Benisty, X Hernandez-Alias, M Weber, M Anglada-Girotto, F Mantica, ... Cell Systems 14 (4), 312-323. e3, 2023 | 5 | 2023 |
LigQ: A Webserver to Select and Prepare Ligands for Virtual Screening L Radusky, S Ruiz-Carmona, C Modenutti, X Barril, AG Turjanski, ... Journal of chemical information and modeling 57 (8), 1741-1746, 2017 | 5 | 2017 |