Combinatorial Chemistry & High Throughput Screening - Volume 23, Issue 6, 2020

Objective: The world is under the grasp of dangerous post-antibiotics and antimicrobials attack where common infections may become untreatable, leading to premature deaths due to antimicrobial resistance (AMR). While an estimated 7,00,000 people die annually due to AMR, which is a public health threat to all communities in different parts of the world regardless of their economic status; however, this threat is serious in low- Read More

Background: The parasitic protozoal infections leishmaniasis, human African trypanosomiasis, and Chagas disease are neglected tropical diseases that pose serious health risks for much of the world’s population. Current treatment options suffer from limitations, but plantderived natural products may provide economically advantageous therapeutic alternatives. Several germacranolide sesquiterpenoids have shown promi Read More

Background: Tuberculosis is a disease with high incidence and high mortality rate, especially in Brazil. Although there are several medications available for treatment, in cases of resistance, there is a need to use more than one medication. Objective: Therefore, cases of toxicity increase and reports of resistance have been worrying the population. In addition, some medications have a short period of effectiveness. To achi Read More

Background: Escherichia coli various strains can cause alarmingly serious infections. Countries like Pakistan harbour the class of bacteria with one of the highest rates of resistance, but very little has been done to explore their genetic pool. Objectives: This study was designed to find out the frequency of virulence genes of Uropathogenic E. coli and their association with antibiotic resistance along with the evolutionary adaptat Read More

Background: RNA methylation is a reversible post-transcriptional modification involving numerous biological processes. Ribose 2'-O-methylation is part of RNA methylation. It has shown that ribose 2'-O-methylation plays an important role in immune recognition and other pathogenesis. Objective: We aim to design a computational method to identify 2'-O-methylation. Methods: Different from the experimental method, we Read More

Background: As the pathogen of malaria, malaria parasite secretes a variety of proteins for its growth and reproduction. Objective: The identification of the secretory proteins of malaria parasite has crucial reference significance for the development of anti-malaria vaccines as well as medicine. Methods: In this study, a computational classification method was developed to identify the secreted proteins of Plasmodiu Read More

Objective: Next-generation sequencing (NGS) was performed to identify genes that were differentially expressed between normal thyroid tissue and papillary thyroid carcinoma (PTC). Materials and Methods: Six candidate genes were selected and further confirmed with quantitative real-time polymerase chain reaction (qRT-PCR), and immunohistochemistry in samples from 24 fresh thyroid tumors and adjacent normal tissues. Read More

Background: We research the binding function proteins in Elymus nutans. Recognition for proteins is essential for study of biology. Machine learning methods have been widely used for the prediction of proteins. Methods: We used BLAST software for the function annotations of Elymus nutans. Besides, we used machine learning methods to recognize proteins which are not annotated by the software. In the process, we focused Read More