BioModels

•   Gonzalez2021 - QSAR Prediction Model for CYP3A4 Inhibitor and Substrate
  
  Submitter: Zainab Ashimiyu-Abdusalam | Published date: 2024-05-10
  Publication: Development of Robust Quantitative Structure-Activity Relationship Models for CYP2C9, CYP2D6, and CYP3A4 Catalysis and Inhibition., Drug metabolism and disposition: the biological fate of chemicals (2021)
•   Gonzalez2021 - QSAR Prediction Model for CYP2D6 Inhibitor and Substrate
  
  Submitter: Zainab Ashimiyu-Abdusalam | Published date: 2024-05-10
  Publication: Development of Robust Quantitative Structure-Activity Relationship Models for CYP2C9, CYP2D6, and CYP3A4 Catalysis and Inhibition., Drug metabolism and disposition: the biological fate of chemicals (2021)
•   Stokes2020 - Antibiotics discovery using deep learning approach (Antiviral implementation)
  
  Submitter: Zainab Ashimiyu-Abdusalam | Published date: 2024-05-08
  Publication: A Deep Learning Approach to Antibiotic Discovery., Cell (2020)
•   Lesiczka2024 - Genome-scale Metabolic Model Midichloria mitochondrii
  
  Submitter: William Scott | Published date: 2024-05-10
  Publication: Deep sequencing of 16 Ixodes ricinus ticks unveils insights into their interactions with endosymbionts, bioRixv (2024)
•   Gonzalez2021 - QSAR Prediction Model for CYP450 enzymes Inhibitor and Substrate
  
  Submitter: Zainab Ashimiyu-Abdusalam | Published date: 2024-05-10
  Publication: Development of Robust Quantitative Structure-Activity Relationship Models for CYP2C9, CYP2D6, and CYP3A4 Catalysis and Inhibition., Drug metabolism and disposition: the biological fate of chemicals (2021)
•   Lesiczka2024 - Genome-scale metabolic model of Rickettsia helvetica
  
  Submitter: William Scott | Published date: 2024-05-10
  Publication: Deep sequencing of 16 Ixodes ricinus ticks unveils insights into their interactions with endosymbionts, bioRixv (2024)
•   Zeng2022 - Prediction of molecular properties and drug targets using a self-supervised learning framework
  
  Submitter: Zainab Ashimiyu-Abdusalam | Published date: 2024-05-08
  Publication: Accurate prediction of molecular targets using a self-supervised image representation learning framework., Research square (2022)

•   Novak1997 - Cell Cycle
•   Brännmark2013 - Insulin signalling in human adipocytes (normal condition)
•   Talemi2014 - Arsenic toxicity and detoxification mechanisms in yeast
•   Haffez2017 - RAR interaction with synthetic analogues
•   Stortelder1997 - Thrombin Generation Amidolytic Activity
•   Bungay2003_Thrombin_Generation
•   Hettling2011_CreatineKinase

Rahuman S Malik-Sheriff, Mihai Glont, Tung V N Nguyen, Krishna Tiwari, Matthew G Roberts, Ashley Xavier, Manh T Vu, Jinghao Men, Matthieu Maire, Sarubini Kananathan, Emma L Fairbanks, Johannes P Meyer, Chinmay Arankalle, Thawfeek M Varusai, Vincent Knight-Schrijver, Lu Li, Corina Dueñas-Roca, Gaurhari Dass, Sarah M Keating, Young M Park, Nicola Buso, Nicolas Rodriguez, Michael Hucka, and Henning Hermjakob

BioModels — 15 years of sharing computational models in life science.

Nucl. Acids Res. 2020

Mihai Glont, Tung V N Nguyen, Martin Graesslin, Robert Hälke, Raza Ali, Jochen Schramm, Sarala M Wimalaratne, Varun B Kothamachu, Nicolas Rodriguez, Maciej J Swat, Jurgen Eils, Roland Eils, Camille Laibe, Rahuman S Malik-Sheriff, Vijayalakshmi Chelliah, Nicolas Le Novère, and Henning Hermjakob

BioModels: expanding horizons to include more modelling approaches and formats.

Nucl. Acids Res. 2018

BioModels is supported by the European Molecular Biology Laboratory, the Biotechnology and Biological Sciences Research Council (Multimod, BB/N019482/1) and the Innovative Medicines Initiative (TransQST, 116030).

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