FSM-DDTR: End-to-end feedback strategy for multi-objective De Novo drug design using transformers-Reference-Cited by-同舟云学术

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FSM-DDTR: End-to-end feedback strategy for multi-objective De Novo drug design using transformers

Published:2023-09 Issue: Volume:164 Page:107285
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Monteiro Nelson R.C.^ORCID,Pereira Tiago O.^ORCID,Machado Ana Catarina D.^ORCID,Oliveira José L.^ORCID,Abbasi Maryam,Arrais Joel P.^ORCID

Funder

Fundação para a Ciência e a Tecnologia

Ministério da Ciência, Tecnologia e Ensino Superior

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference41 articles.

1. Rethinking drug design in the artificial intelligence era;Schneider;Nat. Rev. Drug Discov.,2020

2. Transformers: State-of-the-art natural language processing;Wolf,2020

3. A gentle introduction to deep learning in medical image processing;Maier;Z. Med. Phys.,2019

4. Artificial intelligence in drug development: present status and future prospects;Mak;Drug Discov. Today,2019

5. Generating focused molecule libraries for drug discovery with recurrent neural networks;Segler;ACS Cent. Sci.,2018

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