Publications by authors named "Matheus Ferraz"

The goal of this study was to evaluate characteristics associated with Pre-exposure Prophylaxis for HIV infection (PrEP) non-adherence or discontinuation in Brazil and assess the association between these outcomes and HIV seroconversion. We used linked national dispensing and pathology data to identify people aged 14+ years initiating PrEP in 2018. We estimated non-adherence using the proportion of days covered (PDC), defining non-adherence as PDC < 60%.

View Article and Find Full Text PDF
Article Synopsis
  • - The study investigates how the SARS-CoV-2 virus infects host cells through its spike glycoprotein binding to the ACE2 receptor, focusing on how different cell types express heparan sulfate (HS) proteoglycans that may influence this process.
  • - Researchers conducted advanced simulations to analyze the interactions between the spike protein and ACE2, with emphasis on HS’s role in stabilizing the spike's active conformation and affecting the binding dynamics between the spike and ACE2.
  • - Findings suggest that HS enhances the virus's ability to infect cells, providing a potential target for developing anti-SARS-CoV-2 therapies through GAG derivatives.
View Article and Find Full Text PDF
Article Synopsis
  • The study emphasizes the urgent need to identify risk factors for COVID-19 severity to improve patient care and allocate resources effectively.
  • It highlights that current disease severity classification relies on clinical parameters and blood tests that lack global standardization, leading to conflicting results.
  • A machine learning model was developed using data from 72 patients in Brazil, identifying five key lab biomarkers that accurately predict severe COVID-19, potentially enhancing clinical decision-making.
View Article and Find Full Text PDF

Arboviral infections such as Zika, chikungunya, dengue, and yellow fever pose significant health problems globally. The population at risk is expanding with the geographical distribution of the main transmission vector of these viruses, the mosquito. The global spreading of this mosquito is driven by human migration, urbanization, climate change, and the ecological plasticity of the species.

View Article and Find Full Text PDF

Propolis is a natural resinous product collected from different parts of plants by bees and mixed with their salivary secretions. The occurrence of more than 180 different chemotypes has flavonoids, phenolic acids, esters, and phenolic aldehydes, as well as balsamic resins, beeswax, pollen, and essential and aromatic oils, among others. Its biological potential documented throughout the world justifies the need, from time to time, to organize reviews on the subject, with the intention of gathering and informing about the update on propolis.

View Article and Find Full Text PDF

The prediction of the free energy (Δ) of binding for protein-protein complexes is of general scientific interest as it has a variety of applications in the fields of molecular and chemical biology, materials science, and biotechnology. Despite its centrality in understanding protein association phenomena and protein engineering, the Δ of binding is a daunting quantity to obtain theoretically. In this work, we devise a novel Artificial Neural Network (ANN) model to predict the Δ of binding for a given three-dimensional structure of a protein-protein complex with Rosetta-calculated properties.

View Article and Find Full Text PDF

Human papillomavirus (HPV) is recognized as the causative agent of cervical cancer in women, and it is associated with other anogenital and head/neck cancers. More than 120 types of HPV have been identified and many classified as high- or low-risk according to their oncogenic potential. One of its proteins, E6, has evolved to overcome the oncosuppressor functions of p53 by targeting this protein for degradation via interaction with the human ubiquitin-ligase E6AP.

View Article and Find Full Text PDF

Herein we describe the use of molecular docking simulations, quantitative structure-activity relationships studies and ADMETox predictions to analyse the molecular recognition of a series of 7-aryl-2,4-diaminoquinazoline derivatives on the inhibition of dihydrofolate reductase and conducted a virtual screening to discover new potential inhibitors. A quantitative structure-activity relationship model was developed using 40 compounds and two selected descriptors. These descriptors indicated the importance of pKa and molar refractivity for the inhibitory activity against DHFR.

View Article and Find Full Text PDF

The Amazonas was one of the most heavily affected Brazilian states by the COVID-19 epidemic. Despite a large number of infected people, particularly during the second wave associated with the spread of the Variant of Concern (VOC) Gamma (lineage P.1), SARS-CoV-2 continues to circulate in the Amazonas.

View Article and Find Full Text PDF

Mutations at both the receptor-binding domain (RBD) and the amino (N)-terminal domain (NTD) of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Spike (S) glycoprotein can alter its antigenicity and promote immune escape. We identified that SARS-CoV-2 lineages circulating in Brazil with mutations of concern in the RBD independently acquired convergent deletions and insertions in the NTD of the S protein, which altered the NTD antigenic-supersite and other predicted epitopes at this region. Importantly, we detected the community transmission of different P.

View Article and Find Full Text PDF

SARS-CoV-2 VOC immune evasion is mainly due to lower cross-reactivity from previously elicited class I/II neutralizing antibodies, while increased affinity to hACE2 plays a minor role. The affinity between antibodies and VOCs is impacted by remodeling of the electrostatic surface potential of the Spike RBDs. The P.

View Article and Find Full Text PDF

Realizing autonomous inspection, such as that of power distribution lines, through unmanned aerial vehicle (UAV) systems is a key research domain in robotics. In particular, the use of autonomous and semi-autonomous vehicles to execute the tasks of an inspection process can enhance the efficacy and safety of the operation; however, many technical problems, such as those pertaining to the precise positioning and path following of the vehicles, robust obstacle detection, and intelligent control, must be addressed. In this study, an innovative architecture involving an unmanned aircraft vehicle (UAV) and an unmanned ground vehicle (UGV) was examined for detailed inspections of power lines.

View Article and Find Full Text PDF

A density functional theory (DFT) computational analysis, using the ωB97X-D functional, of a rapid amide cleavage in 2-carboxyphthalanilic acid (2CPA), where the amide group is flanked by two catalytic carboxyls, reveals key mechanistic information: (a) General base catalysis by a carboxylate coupled to general acid catalysis by a carboxyl is not operative. (b) Nucleophilic attack by a carboxylate on the amide carbonyl coupled to general acid catalysis at the amide oxygen can also be ruled out. (c) A mechanistic pathway that remains viable involves general acid proton delivery to the amide nitrogen by a carboxyl, while the other carboxylate engages in nucleophilic attack upon the amide carbonyl; a substantially unchanged amide carbonyl in the transition state; two concurrent bond-forming events; and a spatiotemporal-base rate acceleration.

View Article and Find Full Text PDF

Antibodies against the HIV-1 2F5 epitope are known as one of the most powerful and broadly protective anti-HIV antibodies. Therefore, vaccine strategies that include the 2F5 epitope in their formulation require a robust method to detect specific anti-2F5 antibody production by B cells. Towards this goal, we have biotinylated a previously reported computer-designed protein carrying the HIV-1 2F5 epitope aiming the further development of a platform to detect human B-cells expressing anti-2F5 antibodies through flow cytometry.

View Article and Find Full Text PDF