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Rocío Mercado
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2020 – today
- 2024
- [j7]Annie M. Westerlund, Siva Manohar Koki, Supriya Kancharla, Alessandro Tibo, Lakshidaa Saigiridharan, Mikhail Kabeshov, Rocío Mercado, Samuel Genheden:
Do Chemformers Dream of Organic Matter? Evaluating a Transformer Model for Multistep Retrosynthesis. J. Chem. Inf. Model. 64(8): 3021-3033 (2024) - [i3]Yossra Gharbi, Rocío Mercado:
A Comprehensive Review of Emerging Approaches in Machine Learning for De Novo PROTAC Design. CoRR abs/2406.16681 (2024) - 2023
- [j6]Rocío Mercado, Steven M. Kearnes, Connor W. Coley:
Data Sharing in Chemistry: Lessons Learned and a Case for Mandating Structured Reaction Data. J. Chem. Inf. Model. 63(14): 4253-4265 (2023) - 2022
- [j5]Rocío Mercado, Esben Jannik Bjerrum, Ola Engkvist:
Exploring Graph Traversal Algorithms in Graph-Based Molecular Generation. J. Chem. Inf. Model. 62(9): 2093-2100 (2022) - [j4]Sara Romeo Atance, Juan Viguera Diez, Ola Engkvist, Simon Olsson, Rocío Mercado:
De Novo Drug Design Using Reinforcement Learning with Graph-Based Deep Generative Models. J. Chem. Inf. Model. 62(20): 4863-4872 (2022) - [c1]Wenhao Gao, Rocío Mercado, Connor W. Coley:
Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design. ICLR 2022 - [i2]Divya Nori, Connor W. Coley, Rocío Mercado:
De novo PROTAC design using graph-based deep generative models. CoRR abs/2211.02660 (2022) - 2021
- [j3]Jie Zhang, Rocío Mercado, Ola Engkvist, Hongming Chen:
Comparative Study of Deep Generative Models on Chemical Space Coverage. J. Chem. Inf. Model. 61(6): 2572-2581 (2021) - [j2]Rocío Mercado, Tobias Rastemo, Edvard Lindelöf, Günter Klambauer, Ola Engkvist, Hongming Chen, Esben Jannik Bjerrum:
Graph networks for molecular design. Mach. Learn. Sci. Technol. 2(2): 25023 (2021) - [i1]Wenhao Gao, Rocío Mercado, Connor W. Coley:
Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design. CoRR abs/2110.06389 (2021) - 2020
- [j1]Laurianne David, Amol Thakkar, Rocío Mercado, Ola Engkvist:
Molecular representations in AI-driven drug discovery: a review and practical guide. J. Cheminformatics 12(1): 56 (2020)
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