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Javier_Sánchez_Utgés_CV.md

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Javier Sánchez Utgés's CV

Education

University of Dundee, PhD in Structural Bioinformatics

  • Sept 2020 – present
  • PIPS Internship at ABPI
  • Supervised 7 students across BSc, MSc and PhD degrees
  • Reviewer of contributions for ISMB 2024: 3DSIG
  • Student Representative of Computational Biology Division

Universitat Pompeu Fabra, MSc in Bioinformatics for Health Sciences

  • Sept 2018 – July 2020
  • Grade: 9.3/10
  • Honours: Introduction to Perl
  • 9-month Internship at the Barton Group, University of Dundee
  • MSc Thesis: "Ankyrin repeats in context with population variation"

Universitat Autònoma de Barcelona, BSc in Genetics

  • Sept 2014 – July 2018
  • Grade: 8.4/10
  • Honours: Bioinformatics, Molecular Structure & Interactions
  • 12-month Erasmus exchange at University of Dundee
  • Dissertation: “Methods for the detection and estimation of selection acting upon the genome”

Experience

The Association of the British Pharmaceutical Industry (ABPI), Intern

  • Aug 2022 – Nov 2022
  • London, England
  • Improved the Interactive Resources for Schools website of the ABPI

IBE-CSIC-UPF, Intern

  • July 2017 – Sept 2017
  • Barcelona, Spain
  • Internship at the Calafell Lab on Forensic and Population Genetics

Publications

Comparative evaluation of methods for the prediction of protein-ligand binding sites (10.1186/s13321-024-00923-z)

  • Nov 2024
  • Utgés JS, Barton GJ
  • Journal of Cheminformatics

Classification of likely functional class for ligand binding sites identified from fragment screening (10.1038/s42003-024-05970-8)

  • Mar 2024
  • Utgés JS, MacGowan SA, Ives CM, Barton GJ
  • Communications Biology

Ankyrin repeats in context with human population variation (10.1371/journal.pcbi.1009335)

  • Aug 2021
  • Utgés JS, Tsenkov MI, Dietrich NJM, MacGowan SA, Barton GJ
  • PLOS Computational Biology

Projects

LIGYSIS-web

  • LIGYSIS-web
  • A Python Flask Web Application to explore protein-ligand binding sites
  • Tools: Python, JavaScript, HTML, CSS
  • Packages: Flask, 3DMol.js, Chart.js

LBS-comparison

  • LBS-comparison
  • The largest benchmark of ligand binding site prediction methods.
  • Tools: Python, P2Rank, fpocket, IF-SitePred, POVME
  • Packages: BioPython, Pandas, Sklearn

FRAGSYS

  • FRAGSYS
  • A pipeline for the analysis of fragment screening-derived binding sites
  • Tools: Python, Bash, Jalview, OC
  • Packages: Matplotlib, Pandas, Seaborn

ANK-analysis

  • ANK-analysis
  • The most comprehensive analysis of Ankyrin repeats
  • Tools: Python, ClustalO, Chimera, AMPS, gnomAD
  • Packages: ProIntVar, ProteoFAV, VarAlign

Conferences

ISCB ISMB 2024

  • July 2024
  • Poster: "LIGYSIS: a resource for the analysis of ligand binding sites"
  • Montreal, Canada

3D-BioInfo | ICSB 3D-SIG | ELIXIR Czech Republic Community Meeting in Structural Bioinformatics

  • Nov 2023
  • Poster: "LIGYSIS: a resource for the analysis of ligand binding sites"
  • Prague, Czech Republic

ISCB ECCB/ISMB 2023

  • July 2023
  • Poster: "Characterising the human protein-ligand interactome"
  • Lyon, France

EMBO VizBi 2023

  • Mar 2023
  • Poster + flash talk: "Predicting function in ligand binding sites"
  • Heidelberg, Germany

ISCB ECCB 2022

  • Sept 2022
  • Poster: "Fragment screening in context with human population variation"
  • Sitges, Spain

European Society for Evolutionary Biology Symposium

  • June 2021
  • Talk: "Tandem Repeats: methods and roles in molecular evolution"
  • Online

Assets

  • Languages: Python, Bash, R, JavaScript, HTML, CSS.
  • Software: Jalview, ChimeraX, PyMol, Clustal, HMMER.
  • Skills: Protein sequence and structure analysis, machine learning, web development, workflow generation, method benchmarking, version control, scientific writing, supervision, team work.

Languages

  • Spanish and Catalan: Mother tongue
  • English: Advanced level, C1 (Grade A, First Certificate in English)
  • German: Advanced level, B2 (5 years at Official Language School)
  • French: Basic level

References