Arthur C. Silva

University of Birmingham — United Kingdom

Computer Science · Physical Sciences

11h-index648citations39works1.92yr avg
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Research Topics

Computational Drug Discovery Methods(18), Research on Leishmaniasis Studies(7), Animal testing and alternatives(7), Parasites and Host Interactions(5), Metabolomics and Mass Spectrometry Studies(3)

Publications39 total

Predicting Organ-Specific Toxicity of Selective Androgen Receptor Modulators, using Transfer Learning on Graph Convolutional Networks
2025Open Access
Unveiling the Kinomes of Leishmania infantum and L. braziliensis Empowers the Discovery of New Kinase Targets and Antileishmanial Compounds
UNC Libraries·2024Open Access
STopTox: An in Silico Alternative to Animal Testing for Acute Systemic and Topical Toxicity
UNC Libraries·2024· 1 citedOpen Access
A Perspective and a New Integrated Computational Strategy for Skin Sensitization Assessment
Carolina Digital Repository (University of North Carolina at Chapel Hill)·2024Open Access
Computationally-guided drug repurposing enables the discovery of kinase targets and inhibitors as new schistosomicidal agents
UNC Libraries·2024· 2 citedOpen Access
A novel method to derive a human safety limit for PFOA by gene expression profiling and modelling
Frontiers in Toxicology·2024· 6 citedOpen Access
UV Dermoscopy for the Diagnosis of Pityrosporum Folliculitis
Dermatology Practical & Conceptual·2024· 4 citedOpen Access
STopTox: An <i>in Silico</i> Alternative to Animal Testing for Acute Systemic and Topical Toxicity
Environmental Health Perspectives·2022· 170 citedOpen Access
Update and elucidation of Plasmodium kinomes: Prioritization of kinases as potential drug targets for malaria
Computational and Structural Biotechnology Journal·2022· 7 citedOpen Access
DNA-Based Electrodes and Computational Approaches on the Intercalation Study of Antitumoral Drugs
Molecules·2021· 6 citedOpen Access
Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals
Artificial Intelligence in the Life Sciences·2021· 26 citedOpen Access
Erratum: CATMoS: Collaborative Acute Toxicity Modeling Suite
Environmental Health Perspectives·2021· 29 citedOpen Access
Erratum: CATMoS: Collaborative Acute Toxicity Modeling Suite
Environmental Health Perspectives·2021· 6 citedOpen Access
Larvicidal potential of cell wall degrading enzymes from <i>Trichoderma asperellum</i> against <scp> <i>Aedes aegypti</i> </scp> (Diptera: Culicidae)
Biotechnology Progress·2021· 14 cited
Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence
Frontiers in Immunology·2021· 26 citedOpen Access
CATMoS: Collaborative Acute Toxicity Modeling Suite
Environmental Health Perspectives·2021· 129 citedOpen Access
Automated Framework for Developing Predictive Machine Learning Models for Data-Driven Drug Discovery
Figshare·2021Open Access
Chemogenomics and bioinformatics approaches for prioritizing kinases as drug targets for neglected tropical diseases
Advances in protein chemistry and structural biology·2020· 7 cited
Artificial Intelligence Applied to the Rapid Identification of New Antimalarial Candidates with Dual‐Stage Activity
ChemMedChem·2020· 12 cited
STopTox: An In-Silico Alternative to Animal Testing for Acute Systemic and TOPical TOXicity
2020· 6 citedOpen Access
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Frequent Co-authors

Carolina Horta Andrade(28), Eugene Muratov(21), Joyce Villa Verde Bastos Borba(19), Vinícius M. Alves(16), Rodolpho C. Braga(14), Alexander Tropsha(11), Bruno J. Neves(8), Judy Strickland(7), Nicholas Furnham(7), José Teófilo Moreira‐Filho(7), Stephen J. Capuzzi(6), Thomas Härtung(6), Nicole Kleinstreuer(5), Thomas Luechtefeld(5), Pablo Ivan Pereira Ramos(5), Alexsander Augusto da Silveira(5), Melina Mottin(5), Álvaro Paulo Silva Souza(5), Adibe Georges Khouri(5), Daniel Korn(4)