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Archives of Proteomics and Bioinformatics
ISSN: 2767-391X
Featured Articles
Possible Functions of the Conserved Peptides Encoded by the RNA - precursors of miRNAs in Plants
Sergey Y. Morozov, Dmitriy Y. Ryazantsev, Tatiana N. Erokhina
MicroRNAs (miRNAs) are short double-stranded regulatory molecules derived from precursor transcripts called primary miRNAs (pri-miRNAs) and transcribing in the nucleus from chromosomal DNA by the RNA polymerase II. These pri-miRNAs were shown to contain internal imperfect hairpin structures which are processed by DCL (dicer-like) enzyme
Arch Proteom and Bioinform, 2021, Volume 2, Issue 1, p1-3 | DOI: 10.33696/Proteomics.2.006
Antisense Inhibition of accA in E. coli Suppressed luxS Expression and Increased Antibiotic Susceptibility
Tatiana Hillman
Multidrug resistant (MDR) bacteria, which are resistant to more than one antibiotic, present an enormous challenge for medical communities and organizations worldwide. For example, Acinetobacter baumannii is a highly contagious MDR gram-negative bacterium (GNB) that inhabits hospitals and causes 64% of urinary tract infections associated with the use of catheters. Alexopoulou et al. found that there were more healthcare-associated infections caused by GNB than Gram-positive Cocci (GPC) bacte
Arch Proteom and Bioinform, 2021, Volume 2, Issue 1, p4-19 | DOI: 10.33696/Proteomics.2.007
Identification of the Molecular Basis of Anti-fibrotic Effects of Soluble Guanylate Cyclase Activator Using the Human Lung Fibroblast
Sunhwa Kim, Ashmita Saigal, Weilong Zhao, Peyvand Amini, Alex M. Tamburino, Subharekha Raghavan, Maarten Hoek
Idiopathic pulmonary fibrosis (IPF) is an irreversible fibrotic lung disease with unknown etiology [1-3]. Although two approved medications, pirfenidone and nintedanib, are able to slow down lung function decline in IPF patients, many other chronic pathologic conditions such as dyspnea and pulmonary hypertension (PH) and overall disease progression,
Arch Proteom and Bioinform, 2020, Volume 1, Issue 1, p13-30 | DOI: 10.33696/Proteomics.1.003
Do Support Vector Machines Play a Role in Stratifying Patient Population Based on Cancer Biomarkers
Ben Lanza, Deepak Parashar
Cancer is a worldwide public health issue that affects millions of people every year. In 2018 there were 17 million newly documented cases of cancer globally (8.8 million in men and 8.2 million in women), leading to 9.6 million deaths. Cancer is a vastly heterogeneous disease, with over 100 different types of cancer currently identified in humans; the most common types of cancer are lung, female breast, bowel and prostate, these four types account for more than 40% of all new cancer case
Arch Proteom and Bioinform, 2021, Volume 2, Issue 1, p20-38 | DOI: 10.33696/Proteomics.2.008
RANDOMIZE: A Web Server for Data Randomization
Agaz H. Wani, Don Armstrong, Jan Dahrendorff, Monica Uddin
Deoxyribonucleic acid (DNA) methylation is a critical type of epigenetic modification that typically occurs in a specialized region of DNA, CpG-rich regions in the mammalian genome and is associated with regulating gene expression. Previous studies have revealed a strong association of change in DNA methylation with various diseases such as cancer, obesity and posttraumatic stress disorder (PTSD).
Arch Proteom and Bioinform, 2020, Volume 1, Issue 1, p31-37 | DOI: 10.33696/Proteomics.1.004
First In silico Structural Model of Glucokinase-1 from Phytophthora infestans Reveals a Possible Pyrophosphate Binding Site
Liara Villalobos-Piña, Ascanio Rojas, Héctor Acosta
Phytophthora infestans is the causal agent of late blight disease, which affects potato and tomato crops worldwide, that brings about significant economic losses in the production of these crops. The PITG_06016 gene codes for one of the 7 glucokinases present in this phytopathogen.
Arch Proteom and Bioinform, 2021, Volume 2, Issue 1, p39-46 | DOI: 10.33696/Proteomics.2.009