Screening and Molecular Dynamics Simulations against Tyrosine-protein Kinase Fyn Reveal Potential Novel Therapeutic Candidates for Bovine Papillomatosis.

Background: Decreased beef productivity due to papillomatosis has led to the development and identification of novel targets and molecules to treat the disease. Protein kinases are promising targets for the design of numerous chemotherapy drugs.

Objective: This study aimed to screen and design new inhibitors of bovine Fyn, a protein kinase, using structure-based computational methods, such as molecular docking and molecular dynamics simulation (MDS).

Metatranscriptomics Analysis Reveals Diverse Viral RNA in Cutaneous Papillomatous Lesions of Cattle.

Bovine papillomavirus (BPV) is associated with bovine papillomatosis, a disease that forms benign warts in epithelial tissues, as well as malignant lesions. Previous studies have detected a co-infection between BPV and other viruses, making it likely that these co-infections could influence disease progression. Therefore, this study aimed to identify and annotate viral genes in cutaneous papillomatous lesions of cattle.

Comparative analysis of different PCR-based strategies for HPV detection and genotyping from cervical samples.

Background: Human papillomavirus (HPV) is the main cause of cervical cancer. Polymerase chain reaction (PCR)-based techniques are associated with accurate results with respect to HPV detection and genotyping, being able to identify viral DNA at low levels. However, differences in primer design influence their sensibility and specificity, depending on the HPV type assessed.

Molecular characterization and phylogenetic analysis of Chikungunya virus during the 2016 outbreak in Sergipe, northeastern Brazil.

Background: Chikungunya (CHIKV) is an arbovirus transmitted mainly by Aedes aegypti females. CHIKV has been highlighted as the pathogen with the greatest impact due to the high morbidity caused by the infection. In 2016, Brazil experienced an outbreak that affected almost 272 000 people.

Application of an entropy-based computational strategy to identify genomic markers for molecular detection and typing of human papillomavirus.

Human papillomavirus (HPV) is a diverse group of double-stranded DNA viruses that present high tropism for the epithelium and infect keratinocytes. Currently, over 200 viral types have been identified, and almost 40 types preferentially infect the epithelial cells of the genital tract. Infections caused by HPV are the most prevalent viral infections that are sexually transmitted in the world.

Comparative transcriptomic analysis of bovine papillomatosis.

Background: Bovine papillomavirus (BPV) belongs to the Papillomaviridae family and infects epithelial cells of bovines and closely related animals, causing hyperproliferative lesions known as warts or papillomas, which may regress or progress to form benign or malignant tumors. The virus enters the host cell and interacts with it by altering the regulation of genes that are responsible for controlling the cell cycle, thus triggering lesion formation. It is not yet known which host genes are regulated by viral infection.