BioModels

•   Ye2021 - Identification of active molecules against Mycobacterium tuberculosis with ML
  
  Submitter: Zainab Ashimiyu-Abdusalam | Published date: 2024-04-08
  Publication: Identification of active molecules against Mycobacterium tuberculosis through machine learning., Briefings in bioinformatics (2021)
•   Bexkens2024 - Schistosoma mansoni glycolysis
  
  Submitter: Jurgen Haanstra | Published date: 2024-04-04
  Publication: The unusual kinetics of lactate dehydrogenase of Schistosoma mansoni and their role in the rapid metabolic switch after penetration of the mammalian host., International journal for parasitology (2024)
•   Rahman2022 - High throughput antibacterial screening with machine learning.
  
  Submitter: Zainab Ashimiyu-Abdusalam | Published date: 2024-04-08
  Publication: A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery., PLoS computational biology (2022)
•   Stokes2020 - Antibiotics discovery using deep learning approach.
  
  Submitter: Zainab Ashimiyu-Abdusalam | Published date: 2024-04-08
  Publication: A Deep Learning Approach to Antibiotic Discovery., Cell (2020)
•   iRM23NL: Genome-scale metabolic model of Rothia mucilaginosa DSM20746
  
  Submitter: Andreas Dräger | Published date: 2024-04-10
  Publication: Genome-Scale Modeling of Rothia mucilaginosa Reveals Insights into Metabolic Capabilities and Therapeutic Strategies for Cystic Fibrosis, BioRxiv (2023)
•   Turon2023 - H3D virtual screening models
  
  Submitter: Zainab Ashimiyu-Abdusalam | Published date: 2024-03-28
  Publication: First fully-automated AI/ML virtual screening cascade implemented at a drug discovery centre in Africa., Nature communications (2023)
•   Benito-Vaquerizo2022- Anaerotignum neopropionicum DSM 3847 model
  
  Submitter: Sara Benito Vaquerizo | Published date: 2024-04-10
  Publication: Genome-scale metabolic modelling enables deciphering ethanol metabolism via the acrylate pathway in the propionate-producer Anaerotignum neopropionicum., Microbial cell factories (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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