Matheus Ferraz

PhD in computational chemistry, bioinformatician with experience in industry

Research Expertise

Computational Chemistry
Protein Design
Machine Learning
Virology
Microbiology
Infectious Diseases
Cell Biology
Microbiology (medical)
Genetics
Ecology
Physiology
Materials Chemistry
Metals and Alloys
Surfaces, Coatings and Films
Ceramics and Composites
Electronic, Optical and Magnetic Materials
Catalysis
Computer Graphics and Computer-Aided Design
Physical and Theoretical Chemistry
Spectroscopy
Molecular Biology
Structural Biology
Organic Chemistry
Biomaterials
Biochemistry
Biophysics
Pharmaceutical Science
Drug Discovery

Legacy Map

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Publications

The ongoing evolution of variants of concern and interest of SARS-CoV-2 in Brazil revealed by convergent indels in the amino (N)-terminal domain of the spike protein
Virus Evolution
2021
Spread of Gamma (P.1) Sub-Lineages Carrying Spike Mutations Close to the Furin Cleavage Site and Deletions in the N-Terminal Domain Drives Ongoing Transmission of SARS-CoV-2 in Amazonas, Brazil
Microbiology Spectrum
2022
Immune evasion of SARS-CoV-2 variants of concern is driven by low affinity to neutralizing antibodies
Chemical Communications
2021
Molecular basis of Tityus stigmurus alpha toxin and potassium channel kV1.2 interactions
Journal of Molecular Graphics and Modelling
2019
The influence of biotinylation on the ability of a computer designed protein to detect B-cells producing anti-HIV-1 2F5 antibodies
Journal of Molecular Graphics and Modelling
2019
SARS-CoV-2 VOCs Immune Evasion from Previously Elicited Neutralizing Antibodies Is Mainly Driven by Lower Cross-Reactivity Due to Spike RBD Electrostatic Surface Changes
Unknown Venue
2021
Identification of potential Staphylococcus aureus dihydrofolate reductase inhibitors using QSAR, molecular docking, dynamics simulations and free energy calculation
Journal of Biomolecular Structure and Dynamics
2022
An artificial neural network model to predict structure-based protein–protein free energy of binding from Rosetta-calculated properties
Physical Chemistry Chemical Physics
2023
Association strength of E6 to E6AP/p53 complex correlates with HPV‐mediated oncogenesis risk
Biopolymers
2022
Unraveling the Role of Nanobodies Tetrad on Their Folding and Stability Assisted by Machine and Deep Learning Algorithms
Advances in Bioinformatics and Computational Biology
2020
Prediction of Absolute Protein-Protein Binding Free Energy by a Super Learner Model
Unknown Venue
2023
Inhibition of 3-Hydroxykynurenine Transaminase from Aedes aegypti and Anopheles gambiae: A Mosquito-Specific Target to Combat the Transmission of Arboviruses
ACS Bio & Med Chem Au
2023
Artificial Neural Network to Predict Structure-based Protein-protein Free Energy of Binding from Rosetta-calculated Properties
Unknown Venue
2022
Discovery of Diverse Natural Products as Inhibitors of SARS-CoV2 Mpro Protease through Virtual Screening
Unknown Venue
CHIKUNGUNYA: DA EPIDEMIOLOGIA AO DESENVOLVIMENTO DE VACINAS
Fatores de virulência microbianos e terapias emergentes
2022
Characterizing Binding Kinetics and Thermodynamics of Computer-Designed Nanobodies Targeting SARS-CoV-2 RBD
Biophysical Journal
2021
TRIAGEM VIRTUAL PARA IDENTIFICAÇÃO DE INIBIDORES DA ACETILCOLINESTERASE.
Anais dos Seminários de Iniciação Científica
2017

Education

Federal University of Pernambuco

Ph.D., Chemistry / June, 2023

Recife

Experience

HEIDELBERG INSTITUTE FOR THEORETICAL STUDIES

Visiting scientst

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