Author

Arthur C. Silva

University of BirminghamORCID 0000-0001-9866-3344Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Approach:large language model· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Adrien RougnyiD· 1 shared Ahmad VaeziD· 1 shared Ahmed Abdelmonem HemedaniD· 1 shared Alexander D. KalianiD· 1 shared Alexander MazeiniD· 1 shared Anna NiarakisiD· 1 shared Anouk VerhoeveniD· 1 shared Bernard StaumontiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Adrien RougnyORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2026

User-driven development and evaluation of an agentic framework for analysis of large pathway diagrams

Marie Corradi, Ivo Djidrovski, Luiz Ladeira…·Marek Ostaszewski

The paper describes the development and evaluation of an agentic framework using LLMs to explore molecular interaction maps through user-driven prototyping and testing.

DOI 10.1093/bioadv/vbag277

large language modelsoftware / tool

𝕏 PostBluesky

Pharmacology & ToxicologybioRxivPreprintAug 27, 2025

Predicting Organ-Specific Toxicity of Selective Androgen Receptor Modulators, using Transfer Learning on Graph Convolutional Networks

Alexander D. Kalian, Arthur C. Silva, Jaewook Lee…·Christer Högstrand

This paper develops GCN-based QSAR models to predict toxicity of SARMs, finding mixed success with transfer learning and moderate accuracy in predicting DILI, DIRI, and DICT.

DOI 10.1101/2025.08.27.672581

deep learninggraph neural network

𝕏 PostBluesky