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プロフィール詳細
プロジェクトを作成
★★★★★
☆☆☆☆☆
Dr. Arthur C.に依頼
United Kingdom

Data Analyst | Computational Toxicologist

プロフィール概要
専門分野
サービス
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
職務経験

The University of Birmingham

- 現在

Consultant

Michabo Health Science

10月 2023 - 現在

Research Fellow

University of Birmingham

8月 2021 - 現在

Regulatory Affairs Coordinator

Centro Universitário Estácio Goiás

8月 2020 - 7月 2021

Lecturer

Centro Universitário Estácio Goiás

2月 2020 - 7月 2021

学歴

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

Universidade Federal de Goiás

12月 2015 - 12月 2019

Mestre em Ciências Farmacêuticas (Faculdade de Farmácia)

Universidade Federal de Goiás

4月 2014 - 12月 2015

Bacharel em Farmácia (Faculdade de Farmácia)

Universidade Federal de Goiás

3月 2009 - 12月 2013

認定資格
出版物
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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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.
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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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.