In Silico

Thomas Hartung. ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science. ALTEX. 2023;40(4):559-570. doi:10.14573/altex.2309191

Weihai Ying. Phenomic Studies on Diseases: Potential and Challenges. Phenomics. 2023;3(3):285-299. doi:10.1007/s43657-022-00089-4

Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, et al. AI in drug discovery and its clinical relevance. Heliyon. 2023;9(7). doi:10.1016/j.heliyon.2023.e17575

José Ramón Gutiérrez-Casares, Javier Quintero, Cristina Segú-Vergés, et al. In silico clinical trial evaluating lisdexamfetamine’s and methylphenidate’s mechanism of action computational models in an attention-deficit/hyperactivity disorder virtual patients’ population. Frontiers in Psychiatry. 2023;14:939650. doi:10.3389/fpsyt.2023.939650

Pauric Bannigan, Zeqing Bao, Riley J. Hickman, et al. Machine learning models to accelerate the design of polymeric long-acting injectables. Nature Communications. 2023;14(1):35. doi:10.1038/s41467-022-35343-w

Bilal Shaker, Sajjad Ahmad, Jingyu Lee, Chanjin Jung, Dokyun Na. In silico methods and tools for drug discovery. Computers in Biology and Medicine. 2021;137:104851. doi:10.1016/j.compbiomed.2021.104851

Lauro Ribeiro de Souza Neto, José Teófilo Moreira-Filho, Bruno Junior Neves, et al. In silico Strategies to Support Fragment-to-Lead Optimization in Drug Discovery. Frontiers in Chemistry. 2020;8. https://www.frontiersin.org/articles/10.3389/fchem.2020.00093.

Eduardo Habib Bechelane Maia, Letícia Cristina Assis, Tiago Alves de Oliveira, Alisson Marques da Silva, Alex Gutterres Taranto. Structure-Based Virtual Screening: From Classical to Artificial Intelligence. Frontiers in Chemistry. 2020;8. https://www.frontiersin.org/articles/10.3389/fchem.2020.00343.

Simone Brogi, Teodorico Castro Ramalho, Kamil Kuca, José L. Medina-Franco, Marian Valko. Editorial: In silico Methods for Drug Design and Discovery. Frontiers in Chemistry. 2020;8. https://www.frontiersin.org/articles/10.3389/fchem.2020.00612.

Maha Thafar, Arwa Bin Raies, Somayah Albaradei, Magbubah Essack, Vladimir B. Bajic. Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities. Frontiers in Chemistry. 2019;7. https://www.frontiersin.org/articles/10.3389/fchem.2019.00782.