Maria Natália Dias Soeiro Cordeiro

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Associate Professor

Universidade do Porto Faculdade de Engenharia

Portugal

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About

Maria Natália Dias Soeiro Cordeiro is an Associate Professor at the Universidade do Porto Faculdade de Ciências in Portugal. Her research areas include multi-target drug discovery, machine learning applications in catalyst design, and computational approaches for antibacterial discovery. She has contributed to numerous articles focusing on topics such as molecular dynamics, multitasking modeling, and artificial intelligence-driven modeling in drug design.

Recent Grants

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Paper-based molecularly imprinted polymer devices for the analysis of pharmaceuticals

Open Date: 2022-01-01

Close Date:

Grant: Close

LAQV-REQUIMTE (Associated Laboratory for Green Chemistry - Clean Technologies and Processes)

Open Date: 2019-01-01

Close Date: 2020-12-01

Grant: Close

Green CO2 Technologies for the Cleaning of Plastics in Museums and Heritage Collections

Open Date: 2018-09-01

Close Date:

Grant: Close

REActivity Learning Machines

Open Date: 2018-01-01

Close Date:

Grant: Close

NanoDesk

Open Date: 2016-06-01

Close Date: 2019-05-01

Articles (20)

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2022

Collaborators (9)

Ana Duarte

Universidade de Aveiro

PORTUGAL

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Humberto González-Díaz

University of the Basque Country

SPAIN

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Iuliia V. Voroshylova

University of Porto

PORTUGAL

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Daniel J. V. A. dos Santos

PORTUGAL

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Florentino Fdez-Riverola

Professor

Universidade de Vigo

SPAIN

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Maria José Umbelino Ferreira

Faculty of Pharmacy, University of Lisbon

PORTUGAL

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Leyre Pérez Álvarez

University of the Basque Country

SPAIN

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Martín Pérez Pérez

PhD Assistant Professor

Universidade de Vigo - Campus Ourense

SPAIN

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Emília Sousa

University of Porto

PORTUGAL

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Maria Natália Dias Soeiro Cordeiro

Research Interests

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About

Recent Grants

Articles (20)

Artificial Intelligence-Driven Modeling for Hydrogel Three-Dimensional Printing: Computational and Experimental Cases of Study

Ligand-Based Approach for Multi-Target Drug Discovery: PTML Modeling of Triple-Target Inhibitors

Machine Learning-Guided Prediction of Activation Energies for Catalyst Design in the Water Gas Shift Reaction

In Silico Approach for Antibacterial Discovery: PTML Modeling of Virtual Multi-Strain Inhibitors Against Staphylococcus aureus

Influence of Deep Eutectic Solvent Composition on Micelle Properties: A Molecular Dynamics Study

Predicting the Aquatic Toxicity of Pharmaceutical and Personal Care Products: A Multitasking Modeling Approach

Perturbation-Theory Machine Learning for Multi-Objective Antibacterial Discovery: Current Status and Future Perspectives

Perturbation-theory machine learning for mood disorders: virtual design of dual inhibitors of NET and SERT proteins

A computational study of the ternary mixtures of NaPF6–EC and choline glycine ionic liquid

Perturbation Theory Machine Learning Model for Phenotypic Early Antineoplastic Drug Discovery: Design of Virtual Anti-Lung-Cancer Agents

MOZART, a QSAR Multi-Target Web-Based Tool to Predict Multiple Drug–Enzyme Interactions

Designing multi-target drugs for the treatment of major depressive disorder

Multi-model in silico characterization of 3-benzamidobenzoic acid derivatives as partial agonists of Farnesoid X receptor in the management of NAFLD

Probing the Allosteric Modulation of P-Glycoprotein: A Medicinal Chemistry Approach Toward the Identification of Noncompetitive P-Gp Inhibitors

Predicting the ecotoxicity of endocrine disruptive chemicals: Multitasking in silico approaches towards global models

Predicting the Surface Tension of Deep Eutectic Solvents

Adsorption of Peptides onto Carbon Nanotubes Grafted with Poly(ethylene Oxide) Chains: A Molecular Dynamics Simulation Study

Toxicity Assessment of the Binary Mixtures of Aquatic Organisms Based on Different Hypothetical Descriptors

Computational Modelling and Sustainable Synthesis of a Highly Selective Electrochemical MIP-Based Sensor for Citalopram Detection

Moving Average-Based Multitasking In Silico Classification Modeling: Where Do We Stand and What Is Next?

Collaborators (9)

Ana Duarte

Humberto González-Díaz

Iuliia V. Voroshylova

Daniel J. V. A. dos Santos

Florentino Fdez-Riverola

Maria José Umbelino Ferreira

Leyre Pérez Álvarez

Martín Pérez Pérez

Emília Sousa

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