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Tetko, I.V. ; Godin, G.* ; Jablonka, K.M.* ; Mirza, A.* ; Patiny, L.*

Consensus prediction of chemical reactions with OCHEM-R platform.

In: (Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions). Berlin [u.a.]: Springer, 2026. 45-52 (Lect. Notes Comput. Sc. ; 16072 LNCS)
DOI
Here we describe the OCHEM-R platform, developed to propose chemical pathways based on a consensus prediction of retrosynthetic pathways using eight different methods. The developed software allows users to visualize predicted reactions and identify similar reactions using retrieval augmented generation (RAG) . The platform is publicly available at https://ochem.eu.
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Publication type Article: Conference contribution
Keywords Llm ; Multistep Reaction Prediction ; Pathway Visualization ; Reaction Explanation
Language english
Publication Year 2026
HGF-reported in Year 2026
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Conference Title Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions
Quellenangaben Volume: 16072 LNCS, Issue: , Pages: 45-52 Article Number: , Supplement: ,
Publisher Springer
Publishing Place Berlin [u.a.]
POF-Topic(s) 30203 - Molecular Targets and Therapies
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503000-001
Scopus ID 105018302558
Erfassungsdatum 2025-10-22