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Hire Dr. Arthur C.

United Kingdom

USD 150 /hr

Data Analyst | Computational Toxicologist

Profile Summary

I am a computational toxicologist driven by a simple goal: to modernise how we protect people’s health in a world increasingly influenced by chemicals. Chemical safety and food security are urgent public safety challenges, yet many current approaches are slow, costly, and poorly adapted to today’s data-rich environment. My research employs New Approaches Methodologies (NAMs) that use machine learning and big data to better understand how chemicals affect the human body and translate that knowledge into clearer, faster, and more reliable safety decisions. The long-term aim of my career is to help reshape chemical risk assessment to be more probabilistic, protective, transparent, and human-relevant, thereby directly supporting public health and regulatory confidence. The immediate step toward this vision is to build and maintain a research-intensive programme that combines strong funding, productive international partnerships, and research-led teaching.

Subject Matter Expertise

• ☆ Molecular Modeling
• ☆ Molecular Docking
• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Medical Writing, Technical Writing, Audio Transcription, General Proofreading & Editing, Translation

Research Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Data Mining, Data Cleaning, Data Processing

Work Experience

The University of Birmingham

- Present

Consultant

Michabo Health Science

October 2023 - Present

Research Fellow

University of Birmingham

August 2021 - Present

Regulatory Affairs Coordinator

Centro Universitário Estácio Goiás

August 2020 - July 2021

Lecturer

Centro Universitário Estácio Goiás

February 2020 - July 2021

Education

Doutorado em Medicina Tropical e Saúde Pública (Instituto de Patologia Tropical e Saúde Pública)

Universidade Federal de Goiás

December 2015 - December 2019

Mestre em Ciências Farmacêuticas (Faculdade de Farmácia)

Universidade Federal de Goiás

April 2014 - December 2015

Bacharel em Farmácia (Faculdade de Farmácia)

Universidade Federal de Goiás

March 2009 - December 2013

Certifications

• 2022 Young Researcher LUSH Prize

  LUSH

  https://lushprize.org/2022-prize/2022-prize-winners/

  November 2022 - Present

Publications

JOURNAL ARTICLE

A novel method to derive a human safety limit for PFOA by gene expression profiling and modelling @article{6c13c0bb79c349bd89e1fd9f177ea711, title = "A novel method to derive a human safety limit for PFOA by gene expression profiling and modelling", abstract = "Perfluorooctanoic acid (PFOA) is a persistent environmental contaminant that can accumulate in the human body due to its long half-life. This substance has been associated with liver, pancreatic, testicular and breast cancers, liver steatosis and endocrine disruption. PFOA is a member of a large group of substances also known as “forever chemicals” and the vast majority of substances of this group lack toxicological data that would enable their effective risk assessment in terms of human health hazards. This study aimed to derive a health-based guidance value for PFOA intake (ng/kg BW/day) from in vitro transcriptomics data. To this end, we developed an in silico workflow comprising five components: (i) sourcing in vitro hepatic transcriptomics concentration-response data; (ii) deriving molecular points of departure using BMDExpress3 and performing pathway analysis using gene set enrichment analysis (GSEA) to identify the most sensitive molecular pathways to PFOA exposure; (iii) estimating freely-dissolved PFOA concentrations in vitro using a mass balance model; (iv) estimating in vivo doses by reverse dosimetry using a PBK model for PFOA as part of a quantitative in vitro to in vivo extrapolation (QIVIVE) algorithm; and (v) calculating a tolerable daily intake (TDI) for PFOA. Fourteen percent of interrogated genes exhibited in vitro concentration-response relationships. GSEA pathway enrichment analysis revealed that “fatty acid metabolism” was the most sensitive pathway to PFOA exposure. In vitro free PFOA concentrations were calculated to be 2.9\% of the nominal applied concentrations, and these free concentrations were input into the QIVIVE workflow. Exposure doses for a virtual population of 3,000 individuals were estimated, from which a TDI of 0.15 ng/kg BW/day for PFOA was calculated using the benchmark dose modelling software, PROAST. This TDI is comparable to previously published values of 1.16, 0.69, and 0.86 ng/kg BW/day by the European Food Safety Authority. In conclusion, this study demonstrates the combined utility of an “omics”-derived molecular point of departure and in silico QIVIVE workflow for setting health-based guidance values in anticipation of the acceptance of in vitro concentration-response molecular measurements in chemical risk assessment.", keywords = "omics, Markov chain Monte Carlo, reverse dosimetry, PBK, NAMs, in silico, Bayesian, PFOA", author = "Silva, \{Arthur de Carvalho e\} and Loizou, \{George D.\} and Kevin McNally and Olivia Osborne and Claire Potter and David Gott and Colbourne, \{John K.\} and Viant, \{Mark R.\}", note = "AS acknowledges the UK Food Standards Agency for the fellowship on Computational Toxicology and LUSH for the Young Researcher LUSH Prize 2022. Authors acknowledge Alex Hogg for the technical support provided.", year = "2024", month = mar, day = "21", doi = "10.3389/ftox.2024.1368320", language = "English", volume = "6", journal = "Frontiers in toxicology", issn = "2673-3080", publisher = "Frontiers Media", } . Frontiers in toxicology.

Joyce V.B. Borba, Vinicius M. Alves, Rodolpho C. Braga, Daniel R. Korn, Kirsten Overdahl, Arthur C. Silva, Steven U.S. Hall, Erik Overdahl, Nicole Kleinstreuer, Judy Strickland, et al. (2022). STopTox: An in Silico Alternative to Animal Testing for Acute Systemic and Topical Toxicity . Environmental Health Perspectives.

Borba, J.V.B., Alves, V.M., Braga, R.C., Korn, D.R., Overdahl, K., Silva, A.C., Hall, S.U.S., Overdahl, E., Kleinstreuer, N., Strickland, J., et al.(2022). STopTox: An in Silico Alternative to Animal Testing for Acute Systemic and Topical Toxicity . Environmental Health Perspectives. 130. (2).

Joyce Villa Verde Bastos Borba and Arthur de Carvalho e Silva and Mar{\'{\i}}lia Nunes do Nascimento and Let{\'{\i}}cia Tiburcio Ferreira and Aline Rimoldi and Lu{\'{\i}}sa Starling and Pablo Ivan Pereira Ramos and Fabio Trindade Maranh{\~{a}}o Costa and Carolina Horta Andrade(2022). Update and elucidation of Plasmodium kinomes: Prioritization of kinases as potential drug targets for malaria . Computational and Structural Biotechnology Journal. 20. p. 3708--3717. Elsevier {BV}

Arthur de Carvalho e Silva, Edson Silvio Batista Rodrigues, Isaac Yves Lopes de Macêdo, Giovanna Nascimento de Mello e Silva, Henric Pietro Vicente Gil, Bruno Junior Neves, Eric de Souza Gil (2021). DNA-Based Electrodes and Computational Approaches on the Intercalation Study of Antitumoral Drugs . Molecules.

Arthur de Carvalho e Silva, Edson Silvio Batista Rodrigues, Isaac Yves Lopes de Macêdo, Giovanna Nascimento de Mello e Silva, Henric Pietro Vicente Gil, Bruno Junior Neves, Eric de Souza Gil (2021). DNA-Based Electrodes and Computational Approaches on the Intercalation Study of Antitumoral Drugs . Molecules.

Arthur C. Silva and Joyce V.V.B. Borba and Vinicius M. Alves and Steven U.S. Hall and Nicholas Furnham and Nicole Kleinstreuer and Eugene Muratov and Alexander Tropsha and Carolina Horta Andrade(2021). Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals . Artificial Intelligence in the Life Sciences. 1. p. 100028. Elsevier {BV}

Lima, M.N.N., Borba, J.V.B., Cassiano, G.C., Mottin, M., Mendonça, S.S., Silva, A.C., Tomaz, K.C.P., Calit, J., Bargieri, D.Y., Costa, F.T.M., et al.(2021). Artificial Intelligence Applied to the Rapid Identification of New Antimalarial Candidates with Dual-Stage Activity . ChemMedChem. 16. (7). p. 1093-1103.

Bruno Neves, José Moreira-Filho, Arthur Silva, Joyce Borba, Melina Mottin, Vinicius Alves, Rodolpho Braga, Eugene Muratov, Carolina Andrade (2021). Automated Framework for Developing Predictive Machine Learning Models for Data-Driven Drug Discovery . Journal of the Brazilian Chemical Society.

Neves, B.J., Moreira-Filho, J.T., Silva, A.C., Borba, J.V.V.B., Mottin, M., Alves, V.M., Brag, R.C., Muratov, E.N., Andrade, C.H.(2021). Automated framework for developing predictive machine learning models for data-driven drug discovery . Journal of the Brazilian Chemical Society. 32. (1). p. 110-122.

Neves, B.J., Moreira-Filho, J.T., Silva, A.C., Borba, J.V.V.B., Mottin, M., Alves, V.M., Brag, R.C., Muratov, E.N., Andrade, C.H.(2021). Automated framework for developing predictive machine learning models for data-driven drug discovery . Journal of the Brazilian Chemical Society. 32. (1). p. 110-122.

Mansouri, K., Karmaus, A.L., Fitzpatrick, J., Patlewicz, G., Pradeep, P., Alberga, D., Alepee, N., Allen, T.E.H., Allen, D., Alves, V.M., et al.(2021). CATMoS: Collaborative acute toxicity modeling suite . Environmental Health Perspectives. 129. (4).

Mansouri, K., Karmaus, A., Fitzpatrick, J., Patlewicz, G., Pradeep, P., Alberga, D., Alepee, N., Allen, T.E.H., Allen, D., Alves, V.M., et al.(2021). Erratum: Catmos: Collaborative acute toxicity modeling suite . Environmental Health Perspectives. 129. (7).

Mansouri, K., Karmaus, A.L., Fitzpatrick, J., Patlewicz, G., Pradeep, P., Alberga, D., Alepee, N., Allen, T.E.H., Allen, D., Alves, V.M., et al.(2021). Erratum: Catmos: Collaborative acute toxicity modeling suite (Environ Health Perspect. 129(4):047013, 2021. 10.1289/EHP8495) . Environmental Health Perspectives. 129. (10).

da Silveira, A.A., Andrade, J.S.P., Guissoni, A.C.P., da Costa, A.C., de Carvalho e Silva, A., da Silva, H.G., Brito, P., de Souza, G.R.L., Fernandes, K.F.(2021). Larvicidal potential of cell wall degrading enzymes from Trichoderma asperellum against Aedes aegypti (Diptera: Culicidae) . Biotechnology Progress. 37. (5).

Moreira-Filho, J.T., Silva, A.C., Dantas, R.F., Gomes, B.F., Souza Neto, L.R., Brandao-Neto, J., Owens, R.J., Furnham, N., Neves, B.J., Silva-Junior, F.P., et al.(2021). Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence . Frontiers in Immunology. 12.

(2019). Integrative Multi-Kinase Approach for the Identification of Potent Antiplasmodial Hits . Frontiers in Chemistry.

(2019). Unveiling the Kinomes of Leishmania infantum and L. braziliensis Empowers the Discovery of New Kinase Targets and Antileishmanial Compounds . Computational and Structural Biotechnology Journal.

Borba, J.V.B., Silva, A.C., Ramos, P.I.P., Grazzia, N., Miguel, D.C., Muratov, E.N., Furnham, N., Andrade, C.H.(2019). Unveiling the Kinomes of Leishmania infantum and L. braziliensis Empowers the Discovery of New Kinase Targets and Antileishmanial Compounds . Computational and Structural Biotechnology Journal. 17. p. 352-361.

Lima, M.N.N., Cassiano, G.C., Tomaz, K.C.P., Silva, A.C., Sousa, B.K.P., Ferreira, L.T., Tavella, T.A., Calit, J., Bargieri, D.Y., Neves, B.J., et al.(2019). Integrative Multi-Kinase Approach for the Identification of Potent Antiplasmodial Hits . Frontiers in Chemistry. 7.

Sandra Giuliani, James M. Briggs, Arthur C. Silva, Joyce V. V. B. Borba, Pablo I. P. Ramos, Ross A. Paveley, Eugene N. Muratov, Carolina Horta Andrade, Nicholas Furnham(2018). Computationally-guided drug repurposing enables the discovery of kinase targets and inhibitors as new schistosomicidal agents . PLOS Computational Biology. 14. (10). p. e1006515. Public Library of Science ({PLoS})

Giuliani, S., Silva, A.C., Borba, J.V.V.B., Ramos, P.I.P., Paveley, R.A., Muratov, E.N., Andrade, C.H., Furnham, N.(2018). Computationally-guided drug repurposing enables the discovery of kinase targets and inhibitors as new schistosomicidal agents . PLoS Computational Biology. 14. (10).

Alves, Vinicius M., Capuzzi, Stephen Joseph, Braga, Rodolpho C., Borba, Joyce V. B., Silva, Arthur C., Luechtefeld, Thomas, Hartung, Thomas, Andrade, Carolina Horta, Muratov, Eugene N., Tropsha, Alexander(2018). A Perspective and a New Integrated Computational Strategy for Skin Sensitization Assessment . ACS Sustainable Chemistry & Engineering. 6. (3). p. 2845-2859.

Alves, V.M., Capuzzi, S.J., Braga, R.C., Borba, J.V.B., Silva, A.C., Luechtefeld, T., Hartung, T., Andrade, C.H., Muratov, E.N., Tropsha, A.(2018). A Perspective and a New Integrated Computational Strategy for Skin Sensitization Assessment . ACS Sustainable Chemistry and Engineering. 6. (3). p. 2845-2859.

Teixeira, Sarah Fernandes, de Azevedo, Ricardo Alexandre, Silva, Arthur Carvalho, Braga, Rodolpho Campos, Jorge, Salom o D. ria, Barbuto, José Alexandre Marzag o, Andrade, Carolina Horta, Ferreira, Adilson Kleber(2016). Evaluation of cytotoxic effect of the combination of a pyridinyl carboxamide derivative and oxaliplatin on NCI-H1299 human non-small cell lung carcinoma cells . Biomedicine & Pharmacotherapy. 84. p. 1019-1028.

Teixeira, S.F., de Azevedo, R.A., Silva, A.C., Braga, R.C., Jorge, S.D., Barbuto, J.A.M., Andrade, C.H., Ferreira, A.K.(2016). Evaluation of cytotoxic effect of the combination of a pyridinyl carboxamide derivative and oxaliplatin on NCI-H1299 human non-small cell lung carcinoma cells . Biomedicine and Pharmacotherapy. 84. p. 1019-1028.

Braga, Rodolpho C., Alves, Vinicius M., Silva, Arthur C., Nascimento, Marilia N., Silva, Flavia C., Liao, Luciano M., Andrade, Carolina H.(2014). Virtual screening strategies in medicinal chemistry: the state of the art and current challenges . Current topics in medicinal chemistry. 14. (16). p. 1899-912.

Braga, R.C., Alves, V.M., Silva, A.C., Nascimento, M.N., Silva, F.C., Lião, L.M., Andrade, C.H.(2014). Virtual screening strategies in medicinal chemistry: The state of the art and current challenges . Current Topics in Medicinal Chemistry. 14. (16). p. 1899-1912.

BOOK

Borba, J.V.V.B., Silva, A.C., Lima, M.N.N., Mendonca, S.S., Furnham, N., Costa, F.T.M., Andrade, C.H.(2021). Chemogenomics and bioinformatics approaches for prioritizing kinases as drug targets for neglected tropical diseases . Advances in Protein Chemistry and Structural Biology. 124. p. 187-223.

Moreira-Filho, J.T., Dantas, R.F., Senger, M.R., Silva, A.C., Campos, D.M.B., Muratov, E., Silva-Junior, F.P., Andrade, C.H., Neves, B.J.(2019). Shortcuts to schistosomiasis drug discovery: The state-of-the-art . Annual Reports in Medicinal Chemistry. 53. p. 139-180.

OTHER

Borba, J.V.B., Alves, V.M., Braga, R.C., Korn, D., Overdahl, K., Silva, A.C., Hall, S.U.S., Overdahl, E., Kleinstreuer, N., Strickland, J., et al.(2020). STopTox: An in-silico alternative to animal testing for acute Systemic and TOPical TOXicity . ChemRxiv.

Neves, B.J., Moreira-Filho, J.T., Silva, A.C., Borba, J.V.V.B., Mottin, M., Alves, V.M., Braga, R.C., Muratov, E.N., Andrade, C.H.(2020). Automated Framework for Developing Predictive Machine Learning Models for Data-Driven Drug Discovery . ChemRxiv.

BOOK CHAPTER

(2019). Shortcuts to schistosomiasis drug discovery: The state-of-the-art . Annual Reports in Medicinal Chemistry.