level-one heading

Why Kolabtree
Getting started is quick and easy. No upfront fees
It’s free to request a service and invite bids from experts
Discuss requirements with the expert in detail before accepting statement of work from Kolabtree
Collaborate with the expert directly to get your work done the right way
Fund project when you hire the expert, but approve the deliverables only once work is done
Want to hire this expert for a project? Request a quote for free.
Profile Details
Create Project
★★★★★
☆☆☆☆☆
USD 35 /hr
Hire Dr. Mariangela D.
Brazil
USD 35 /hr

Computational Chemist | Molecular Dynamics (AMBER, GROMACS) | Docking | MMPBSA | Drug Discovery

Profile Summary
Subject Matter Expertise
Services
Research Feasibility Study, Scientific and Technical Research
Consulting Scientific and Technical Consulting
Work Experience

Research Fellowship

Instituto Butantan

June 2025 - Present

Research Collaborator

Centro de Tecnologia da Informação Renato Archer

September 2019 - Present

Research Fellow

Universidade Federal do Rio de Janeiro

November 2013 - June 2015

Research Fellow

Yeshiva University Albert Einstein College of Medicine

September 2009 - October 2011

Teaching Assistant

University of South Florida

August 2004 - June 2009

Education

Graduate/PhD (Chemistry)

University of South Florida

August 2004 - August 2009

PhD Theoretical and Computational Chemistry

Sao Paulo University

April 2003 - June 2004

Doctoral (incomplete) (Chemistry)

Escola Sao Paulo

2003 - 2004

Master's degree

Fundação Antônio Prudente

January 2001 - December 2002

Undergraduate

Universidade Federal de São Paulo

February 1997 - December 2000

Certifications
  • Registered Software: Cancer Recurrence Prediction System Using Open Tabular Data

    National Institute of Industrial Property (INPI, Brazil)

    April 2024 - Present

Publications
JOURNAL ARTICLE
Mariangela Dametto, Ernna H. Oliveira, Ana C. Monteleone-Cassiano, Lucas Tavares, Jadson C. Santos, Thais M. Lima, Giovanni F. Gomes, Pedro P. Tanaka, Cintia J. Monteiro, Matheus Munuera, et al. (2024). A mimetic peptide of ACE2 protects against SARS-CoV-2 infection and decreases pulmonary inflammation related to COVID-19 . Antiviral Research.
Pestana, H., Bonacin, R., Rosa, F.D.F., Dametto, M. (2024). A Review on the Use of Machine Learning for Pharmaceutical Formulations . ITNG: International Conference on Information Technology-New Generations. Advances in Intelligent Systems and Computing (1456).
Bonacin, R., Vechi, S.M., Dametto, M., Ruppert, G.C.S. (2024). Exploring Deep Learning Techniques in the Prediction of Cancer Relapse Using an Open Brazilian Tabular Database . ITNG: International Conference on Information Technology-New Generations. Advances in Intelligent Systems and Computing (1456).
Mariangela Dametto, Elaine Barbosa de Figueiredo, Ferrucio de Franco Rosa, Ricardo Antônio Zanetti, Rodrigo Bonacin (2023). Semântica em prontuários eletrônicos para oncologia pediátrica: uma revisão integrativa . Journal of Health Informatics.
Dametto, M., Antoniou, D., Schwartz, S.D.(2012). Barrier crossing in dihydrofolate reductase does not involve a rate-promoting vibration . Molecular Physics. 110. (9-10). p. 531-536.
Dametto, M., Cárdenas, A.E.(2008). Computer simulations of the refolding of sperm whale apomyoglobin from high-temperature denaturated state . Journal of Physical Chemistry B. 112. (31). p. 9501-9506.
Dametto, M., Suchecki, D., Bueno, O.F.A, Moreira, K.M., Tufik, S., Oliveira, M.G.M.(2002). Social stress does not interact with paradoxical sleep deprivation-induced memory impairment . Behavioural Brain Research. 129. (1-2). p. 171-178.
Dametto, M., David, A.P., Azzolini, S.S., Campos, I.T.N., Tanaka, A.M., Gomes, A., Andreotti, R., Tanaka, A.S.(2000). Purification and characterization of a trypsin-like enzyme with fibrinolytic activity present in the abdomen of horn fly, Haematobia irritans irritans (Diptera: Muscidae) . Journal of Protein Chemistry. 19. (6). p. 515-521.
BOOK CHAPTER
Mariangela Dametto, Helder Pestana, Rodrigo Bonacin, Ferrucio de Franco Rosa (2024). A Review on the Use of Machine Learning for Pharmaceutical Formulations . Advances in Intelligent Systems and Computing.
Mariangela Dametto, Rodrigo Bonacin, Sérgio Modesto Vechi, Guilherme Cesar Soares Ruppert (2024). Exploring Deep Learning Techniques in the Prediction of Cancer Relapse Using an Open Brazilian Tabular Database . Advances in Intelligent Systems and Computing.
CONFERENCE PAPER
Mariangela Dametto, Sergio Modesto Vechi, Rodrigo Bonacin (2022). Predicting Cancer Relapse with Machine Learning from an Open Brazilian Database . 2022 E-Health and Bioengineering Conference (EHB).
Mariangela Dametto, Sergio Vechi, Sergio Vechi, Rodrigo Bonacin, Rodrigo Bonacin (2022). Predicting cancer relapse with machine learning from an open Brazilian database. IEEE International Conference on e-Health and Bioengineering EHB 2022 - 10-th Edition.
Mariangela Dametto(2021). A Multidimensional Framework for Semantic Electronic Health Records in Oncology Domain . 2021 IEEE 30th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). {IEEE}
Mariangela Dametto, Elaine Barbosa de Figueiredo, Ferrucio de Franco Rosa, Rodrigo Bonacin (2021). A Multidimensional Framework for Semantic Electronic Health Records in Oncology Domain . 2021 IEEE 30th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).