Skip to main navigation Skip to search Skip to main content

Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World

  • Srijit Seal
  • , Manas Mahale
  • , Miguel García-Ortegón
  • , Chaitanya K. Joshi
  • , Layla Hosseini-Gerami
  • , Alex Beatson
  • , Matthew Greenig
  • , Mrinal Shekhar
  • , Arijit Patra
  • , Caroline Weis
  • , Arash Mehrjou
  • , Adrien Badré
  • , Brianna Paisley
  • , Rhiannon Lowe
  • , Shantanu Singh
  • , Falgun Shah
  • , Bjarki Johannesson
  • , Dominic Williams
  • , David Rouquie
  • , Djork Arné Clevert
    • Patrick Schwab, Nicola Richmond, Christos A. Nicolaou, Raymond J. Gonzalez, Russell Naven, Carolin Schramm, Lewis R. Vidler, Kamel Mansouri, W. Patrick Walters, Deidre Dalmas Wilk, Ola Spjuth, Anne E. Carpenter, Andreas Bender
  • Broad Institute
  • University of Cambridge
  • University of Cambridge
  • GlaxoSmithKline Gunnels
  • Merck and Company, Inc.
  • AstraZeneca Sweden
  • Pfizer Inc.
  • National Institute of Environmental Health Sciences (NIEHS)
  • Uppsala University

Research output: Contribution to journal › Review article › peer-review

76 Scopus citations

Fingerprint

Dive into the research topics of 'Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World'. Together they form a unique fingerprint.
Sort by

Pharmacology, Toxicology and Pharmaceutical Science

Neuroscience