Josep Triviño

ORCID: 0009-0002-6729-8588
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Research Areas
  • Enzyme Structure and Function
  • Protein Structure and Dynamics
  • Glycosylation and Glycoproteins Research
  • Mass Spectrometry Techniques and Applications
  • Microbial Metabolic Engineering and Bioproduction
  • Methane Hydrates and Related Phenomena
  • Advanced Data Processing Techniques
  • Advanced Electron Microscopy Techniques and Applications
  • Advanced Data Storage Technologies
  • Analytical Chemistry and Chromatography
  • Computational Drug Discovery Methods
  • Radioactive element chemistry and processing
  • Advanced NMR Techniques and Applications

Institut de Biologia Molecular de Barcelona
2020-2024

Jon Agirre Mihaela Atanasova Haroldas Bagdonas Charles B. Ballard Arnaud Baslé and 89 more James Beilsten‐Edmands Rafael J. Borges D. Brown J. Javier Burgos-Mármol John M. Berrisford Paul S. Bond Iracema Caballero Lucrezia Catapano Grzegorz Chojnowski Atlanta G. Cook Kevin Cowtan Tristan I. Croll J.E. Debreczeni N. E. Devenish E.J. Dodson Tarik R. Drevon Paul Emsley Gwyndaf Evans Phil Evans Maria Fando James Foadi Luis Fuentes‐Montero Elspeth F. Garman Markus Gerstel Richard J. Gildea Kaushik Hatti Maarten L. Hekkelman Philipp Heuser Soon Wen Hoh Michael A. Hough Huw T. Jenkins Elisabet Jiménez Robbie P. Joosten Ronan M. Keegan N.H. Keep Eugene Krissinel Petr Kolenko Oleg Kovalevskiy Victor S. Lamzin David M. Lawson Andrey A. Lebedev Andrew G. W. Leslie Bernhard Lohkamp Fei Long Martin Malý Airlie J. McCoy Stuart McNicholas Ana Medina Claudia Millán James W. Murray Garib N. Murshudov Robert J. Nicholls M.E.M. Noble Robert D. Oeffner Neesh Pannu James M. Parkhurst Nicholas M. Pearce Joana Pereira Anastassis Perrakis Harold R. Powell Randy J. Read Daniel J. Rigden William Rochira Massimo Sammito Filomeno Sánchez Rodríguez George M. Sheldrick Kathryn L. Shelley Felix Šimkovic Adam J. Simpkin Pavol Skubák E. V. Sobolev Roberto A. Steiner Kyle Stevenson Ivo Tews Jens M. H. Thomas Andrea Thorn Josep Triviño Ville Uski Isabel Usón Alexei A. Vagin Sameer Velankar M. Vollmar Helen Walden David G. Waterman Keith S. Wilson Martyn Winn Graeme Winter Marcin Wojdyr Keitaro Yamashita

The Collaborative Computational Project No. 4 (CCP4) is a UK-led international collective with mission to develop, test, distribute and promote software for macromolecular crystallography. CCP suite multiplatform collection of programs brought together by familiar execution routines, set common libraries graphical interfaces. has experienced several considerable changes since its last reference article, involving new infrastructure, original This which intended as general literature citation...

10.1107/s2059798323003595 article EN cc-by Acta Crystallographica Section D Structural Biology 2023-05-04

Nowadays, progress in the determination of three-dimensional macromolecular structures from diffraction images is achieved partly at cost increasing data volumes. This due to deployment modern high-speed, high-resolution detectors, increased complexity and variety crystallographic software, use extensive databases high-performance computing. limits what can be accomplished with personal, offline, computing equipment terms both productivity maintainability. There also an issue long-term...

10.1107/s2059798322007987 article EN cc-by Acta Crystallographica Section D Structural Biology 2022-08-30

is a lightweight graphical user interface (GUI) for the

10.1107/s1600576723007057 article EN cc-by Journal of Applied Crystallography 2023-08-21

Structure predictions have matched the accuracy of experimental structures from close homologues, providing suitable models for molecular replacement phasing. Even in that present large differences due to relative movement domains or poorly predicted areas, very accurate regions tend be present. These are successful fragment-based phasing as implemented ARCIMBOLDO. The particularities inherently addressed new predicted_model mode, rendering preliminary treatment superfluous but also...

10.1107/s2059798322009706 article EN cc-by Acta Crystallographica Section D Structural Biology 2022-10-20

The analysis of large structural databases reveals general features and relationships among proteins, providing useful insight. A different approach is required to characterize ubiquitous secondary-structure elements, where flexibility essential in order capture small local differences. ALEPH software optimized for the extraction protein folds by relying on their geometry rather than sequence. annotation variability a given fold provides valuable information fragment-based...

10.1107/s2059798320001679 article EN cc-by Acta Crystallographica Section D Structural Biology 2020-02-26

Fragment-based molecular-replacement methods can solve a macromolecular structure quasi-ab initio. ARCIMBOLDO, using common secondary-structure or tertiary-structure template library of folds, locates these with Phaser and reveals the rest by density modification autotracing in SHELXE. The latter stage is challenging when dealing diffraction data at lower resolution, low solvent content, high β-sheet composition situations which initial fragments represent fraction total scattering where...

10.1107/s2059798320000339 article EN cc-by Acta Crystallographica Section D Structural Biology 2020-02-25

Abstract Crystallography at low resolution must determine the atomic model from less experimental observations, which is challenging in absence of a model. In addition, bias more severe when independent data are scarce. Our methods solve phase problem by combining location accurate fragments using Phaser with density modification and interpretation resulting maps SHELXE. From partial, correct structure, process stereochemical constraints draw rest validating result. This same principle now...

10.1002/pro.5136 article EN cc-by-nc-nd Protein Science 2024-08-16

RCIMBOLDO [1] is a fragment based molecular replacement framework where Local Folds (LF: small discontinuous fragments) are located with PHASER [2] providing phases that improved and interpreted in SHELXE [3].ALEPH [4] program for retrieving structural properties of proteins from the PDB [5], solely on geometrical descriptors, Characteristic Vectors (CVs) [6], computed as centroid C -O vectors consecutive tripeptides.Networks CVs hold angles distances representing protein structure. ALEPH...

10.1107/s2053273319093720 article EN Acta Crystallographica Section A Foundations and Advances 2019-08-18

The analysis of large structural databases reveals general features and relationships among proteins, providing useful insight. A different approach is required to characterize ubiquitous secondary-structure elements, where flexibility essential in order capture small local differences. ALEPH software optimized for the extraction protein folds by relying on their geometry rather than sequence. annotation variability a given fold provides valuable information fragment-based...

10.17863/cam.51193 article EN 2020-02-26

Fragment-based molecular-replacement methods can solve a macromolecular structure quasi-ab initio. ARCIMBOLDO, using common secondary-structure or tertiary-structure template library of folds, locates these with Phaser and reveals the rest by density modification autotracing in SHELXE. The latter stage is challenging when dealing diffraction data at lower resolution, low solvent content, high β-sheet composition situations which initial fragments represent fraction total scattering where...

10.17863/cam.51192 article EN 2020-02-25
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