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USD 75 /hr
Hire Sebastián C.
United Kingdom
USD 75 /hr
PhD in Chemical Biology | Drug Discovery, Biocatalysis, Pharma R&D & Scientific Writing
Profile Summary
Subject Matter Expertise
Services
Writing
Technical Writing,
General Proofreading & Editing
Research
Feasibility Study
Consulting
Scientific and Technical Consulting,
Regulatory Consulting
Data & AI
Predictive Modeling,
Data Mining
Product Development
Formulation,
Stability/Shelf Life Testing,
Quality Assurance & Control (QA/QC)
Work Experience
Research Associate in Biochemistry / Chemical Biology
University of Manchester
September 2025 - Present ![]()
Researcher
Universidad San Francisco
March 2017 - February 2026 ![]()
Researcher
Pontificia Universidad Catolica del Ecuador
February 2014 - February 2022 ![]()
R&D Analyst
Laboratorios LIFE
February 2017 - September 2021 ![]()
Education
PhD Chemical Biology (Chemistry)
University of Manchester
September 2021 - March 2025 ![]()
MSc in Durg Discovery and Translational Biology (Biological Sciences)
University of Edinburgh
September 2015 - August 2016 ![]()
BSC in Chemical Sciences (Analytical Chemistry) (Escuela de Ciencias Químicas)
Pontificia Universidad Católica del Ecuador
August 2009 - May 2014 ![]()
Certifications
- Certification details not provided.
Publications
JOURNAL ARTICLE
María C. García, Sebastián A. Cuesta, José R. Mora, Jose L. Paz, Yovani Marrero-Ponce, Frank Alexis, Edgar A. Márquez (2025). Using computer modeling to find new LRRK2 inhibitors for parkinson’s disease . Scientific Reports.
Daniele Torri, Luis Bering, Luke R. L. Yates, Stuart M. Angiolini, Guangcai Xu, Sebastian Cuesta‐Hoyos, Sarah A. Shepherd, Jason Micklefield (2025). Enzymatic Cascades for Stereoselective and Regioselective Amide Bond Assembly . Angewandte Chemie International Edition.
Sandra De La Torre, Sebastián A. Cuesta, Luis Calle, José R. Mora, Jose L. Paz, Patricio J. Espinoza-Montero, Máryury Flores-Sumoza, Edgar A. Márquez (2024). Computational approaches for lead compound discovery in dipeptidyl peptidase-4 inhibition using machine learning and molecular dynamics techniques . Computational Biology and Chemistry.
Guangcai Xu, Daniele Torri, Sebastian Cuesta-Hoyos, Deepanjan Panda, Luke R. L. Yates, Rémi Zallot, Kehan Bian, Dongxu Jia, Andreea I. Iorgu, Colin Levy, et al. (2024). Cryptic enzymatic assembly of peptides armed with β-lactone warheads . Nature Chemical Biology.
Carolina Proaño-Bolaños, Giovanna Morán-Marcillo, Nina Espinosa de los Monteros-Silva, Sebastián Bermúdez-Puga, Mateo A. Salazar, Ailín Blasco-Zúñiga, Sebastián Cuesta, Carolina Molina, Franklin Espinosa, Lorena Meneses, et al. (2024). Bioactivity of synthetic peptides from Ecuadorian frog skin secretions against
<i>Leishmania mexicana</i>
,
<i>Plasmodium falciparum</i>
, and
<i>Trypanosoma cruzi</i> . Microbiology Spectrum.
María José Rengifo-Lema, Carolina Proaño-Bolaños, Sebastián Cuesta, Lorena Meneses (2024). Computational modelling of the antimicrobial peptides Cruzioseptin-4 extracted from the frog Cruziohyla calcarifer and Pictuseptin-1 extracted from the frog Boana picturata . Scientific Reports.
María José Rengifo-Lema, Carolina Proaño-Bolaños, Sebastián Cuesta, Lorena Meneses (2024). Computational modelling of the antimicrobial peptides Cruzioseptin-4 extracted from the frog Cruziohyla calcarifer and Pictuseptin-1 extracted from the frog Boana picturata . Scientific Reports.
Sebastián A. Cuesta, Martín Moreno, Romina A. López, José R. Mora, José Luis Paz, Edgar A. Márquez (2023). ElectroPredictor: An Application to Predict Mayr’s Electrophilicity <i>E</i> through Implementation of an Ensemble Model Based on Machine Learning Algorithms . Journal of Chemical Information and Modeling.
Cristian Rocha-Roa, Eliceo Cortes, Sebastián A. Cuesta, José R. Mora, José L. Paz, Máryury Flores-Sumoza, Edgar A. Márquez (2023). Study of potential inhibition of the estrogen receptor α by cannabinoids using an in silico approach: Agonist vs antagonist mechanism . Computers in Biology and Medicine.
Jhesua Valencia, Vivian Rubio, Gloria Puerto, Luisa Vasquez, Anthony Bernal, José R. Mora, Sebastian A. Cuesta, José Luis Paz, Braulio Insuasty, Rodrigo Abonia, et al. (2022). QSAR Studies, Molecular Docking, Molecular Dynamics, Synthesis, and Biological Evaluation of Novel Quinolinone-Based Thiosemicarbazones against Mycobacterium tuberculosis . Antibiotics.
Nicolás Cabrera, Sebastián A. Cuesta, José R. Mora, José Luis Paz, Edgar A. Márquez, Patricio J. Espinoza-Montero, Yovani Marrero-Ponce, Noel Pérez, Ernesto Contreras-Torres (2022). Searching glycolate oxidase inhibitors based on QSAR, molecular docking, and molecular dynamic simulation approaches . Scientific Reports.
Nicolás Cabrera, Sebastián A. Cuesta, José R. Mora, José Luis Paz, Edgar A. Márquez, Patricio J. Espinoza-Montero, Yovani Marrero-Ponce, Noel Pérez, Ernesto Contreras-Torres (2022). Searching glycolate oxidase inhibitors based on QSAR, molecular docking, and molecular dynamic simulation approaches . Scientific Reports.
Searching glycolate oxidase inhibitors based on QSAR, molecular docking, and molecular dynamic simulation approaches <head>
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</head> . Scientific Reports.
Sebastián A. Cuesta, José R. Mora, Lorena M. Meneses, Edgar A. Márquez, Virginia Flores‐Morales, Luis Rincón, Fernando J. Torres, Cesar H. Zambrano (2022). Unveiling the structure‐reactivity relationship involved in the reaction mechanism of the <scp>HCl</scp>‐catalyzed alkyl <i>t</i>‐butyl ethers thermal decomposition. A computational study . International Journal of Quantum Chemistry.
Sebastian Adolfo Cuesta, Jose Mora, Edgar Márquez (2022). GAS PHASE DECOMPOSITION OF T-BUTYL METHYL ETHER CATALYZED BY DIFFERENT HYDROGEN HALIDES: A DFT STUDY . infoANALÍTICA.
Nicolás Cabrera, Sebastián A. Cuesta, José R. Mora, Luis Calle, Edgar A. Márquez, Roland Kaunas, José Luis Paz (2022). In Silico Searching for Alternative Lead Compounds to Treat Type 2 Diabetes through a QSAR and Molecular Dynamics Study . Pharmaceutics.
Damaris Reinoso D., Sebastián Cuesta H., Carolina Proaño-Bolaños, Lorena Meneses O. (2021). MODELAMIENTO COMPUTACIONAL DE LA CRUZIOSEPTINA CC-17 EXTRAÍDA DE LA RANA Cruziohyla calcarifer . infoANALÍTICA.
Felipe Morales, Sebastián Cuesta H., Carolina Proaño-Bolaños, Lorena Meneses O. (2021). MODELAMIENTO MOLECULAR DE LA CRUZIOSEPTINA CC-16 EXTRAÍDA DE LA RANA Cruziohyla calcarifer . infoANALÍTICA.
Cuesta, S.A., Mora, J.R., Zambrano, C.H., Torres, F.J., Rincón, L.(2019). Comparative study of the nucleophilic attack step in the proteases catalytic activity: A theoretical study . Molecular Physics.
Cuesta, S., Gallegos, F., Arias, J., Pilaquinga, F., Blasco-Zúñiga, A., Proaño-Bolaños, C., Rivera, M., Meneses, L.(2019). Molecular modeling of four Dermaseptin-related peptides of the gliding tree frog Agalychnis spurrelli . Journal of Molecular Modeling. 25. (9).
Andrea Fabara, Sebastián Cuesta, Fernanda Pilaquinga, Lorena Meneses(2018). Computational Modeling of the Interaction of Silver Nanoparticles with the Lipid Layer of the Skin . Journal of Nanotechnology. 2018. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--9. Hindawi Limited
Cuesta, S., Arias, J., Gallegos, F., Alzate-Morales, J., Meneses, L.(2018). On the reaction mechanism of the 3,4-dimethoxybenzaldehyde formation from 1-(3',4'-Dimethoxyphenyl)Propene . Molecules. 23. (2).
Fabara, A., Cuesta, S., Pilaquinga, F., Meneses, L.(2018). Computational Modeling of the Interaction of Silver Nanoparticles with the Lipid Layer of the Skin . Journal of Nanotechnology. 2018.
Meneses, L., Morocho, S., Castellanos, A., Cuesta, S.(2017). Computational study of vicarious nucleophilic substitution reactions . Journal of Molecular Modeling. 23. (10).