Bioinformatics and Computational Biology Research Papers

Discovery of sulfone-resistant dihydropteroate synthase (DHPS) as a target enzyme for kaempferol, a natural flavanoid

Kaempferol is a ubiquitous flavonoid, found in various plants having a wide range of known pharmacological activities, including antioxidant, antiinflammatory, anticancer, antiallergic, antidiabetic, neuroprotective, cardioprotective and an...

Influence of Non - Condensable Gases on the Processes of Heat and Mass Transfer during Film Condensation of Steam in Heat Exchangers

The aim of the article is a quantitative assessment of the influence of non-condensable gases on the intensity of heat and mass transfer processes during film condensation of steam in the specific conditions for heat exchanger. The task is ...

Identifying and validating the key regulatory transcription factor YY1 in the aging process of pancreatic beta cells based on bioinformatics

The aging of pancreatic beta cells is closely associated with various diseases, such as impaired glucose tolerance, yet the underlying regulatory mechanisms remain unclear. In this study, we screened young and aged mouse pancreatic beta cel...

Proteomic analysis of synergetic neuroprotective effect of adenosine, thiamine, niacin and cyanocobalamin in pathophysiology of diabetic polyneuropathy

Background. Neurotransmitter adenosine and B-group vitamins have neuroprotective, remyelinizing and anti-neuroinflammatory properties. Despite the studies of these molecules for decades, the molecular mechanisms of their synergistic effect ...

Assessment of Safety and Probiotic Traits of Enterococcus durans OSY-EGY, Isolated From Egyptian Artisanal Cheese, Using Comparative Genomics and Phenotypic Analyses

An Enterococcus durans strain, designated OSY-EGY, was previously isolated from artisanal cheese. In this work, comparative genomic and phenotypic analyses were utilized to assess the safety characteristics and probiotic traits of the bacte...

Ecological, Biological and Control Studies on the Leaf Coating and Webbing Mite Cisaberoptus kenyae Keifer (Eriophyoidea: Eriophyidae) in Egypt

The leaf coating and webbing mite Cisaberoptus kenyae Keifer was observed for two years in an abandoned mangoorchard in Egypt. The eriophyid mite was fed upon by the two predatory phytoseiid mites Typhlodromips swirskii(Athias-Henriot) and ...

Optimization of cationic nanoparticles stabilized by poloxamer 188: A potential approach for improving the biological activity of Aloe perryi

Aloe perryi (AP) has gained considerable interest as a medicinal herb in various biological applications due to its rich phytochemical composition. However, the therapeutic benefits of AP could be potentiated by utilizing nanotechnology. Mo...

Identification of DDIT4 as a potential prognostic marker associated with chemotherapeutic and immunotherapeutic response in triple-negative breast cancer

Abstract Background Triple-negative breast cancer (TNBC) is the most heterogenous and aggressive subtype of breast cancer. Chemotherapy remains the standard treatment option for patients with TNBC owing to the unavailability of acceptable t...

Editorial: Application of network-theoretic approaches in biology

The Problem of Integrating Digital Twins into Electro-Energetic Control Systems

The use of digital twins (DTs) in the electric power industry and other industries is a hot topic of research, especially concerning the potential of DTs to improve processes and management. This paper aims to present approaches to the crea...

The Mode of Constructing Safe Trajectories of Motion of the Unmanned Aerial Vehicle while Monitoring Power Lines Considering the Influence of their Electromagnetic Fields

The aim of this paper is to increase the flight safety of an unmanned aerial vehicle that monitors power lines under the negative influence of electromagnetic fields on the on-board equipment. This problem was solved with algorithms for pho...

AMALGAMATION OF BUSINESS INT ELL IGENCE WITH ENT ERPRISE RESOURCEPLANN ING SYSTEMS FOR IND USTRY 4.0

Businesses today are incredibly data rich, and dealing with large amount of data, so making some inferences andconclusions, depending on the organisation size and complexity of its processes, it has been a challenge, especially that thenext...

Candyflipping and Other Combinations: Identifying Drug–Drug Combinations from an Online Forum

Novel psychoactive substances (NPS) refer to synthetic compounds or derivatives of more widely known substances of abuse that have emerged over the last two decades. Case reports suggest that users combine substances to achieve desired psyc...

A Comprehensive Joint Learning System to Detect Skin Cancer

Skin, the body’s biggest organ and a barrier against heat, light, damage, and infection can be affected by many diseases. However, a correct diagnosis can lead to proper treatment. Skin diseases must be identified early to reduce ski...

Automated cell type annotation and exploration of single-cell signaling dynamics using mass cytometry

Summary: Mass cytometry by time-of-flight (CyTOF) is an emerging technology allowing for in-depth characterization of cellular heterogeneity in cancer and other diseases. Unfortunately, high-dimensional analyses of CyTOF data remain quite d...

Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis

Abstract Background Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease worldwide. A considerable number of DN patients have experienced irreversible end-st...

Directional Gaussian Mixture Models of the Gut Microbiome Elucidate Microbial Spatial Structure

ABSTRACT The gut microbiome is spatially heterogeneous, with environmental niches contributing to the distribution and composition of microbial populations. A recently developed mapping technology, MaPS-seq, aims to characterize the spatial...

Guarding against artificial intelligence – hallucinated citations: The case for full-text reference deposit.

The tendency of generative artificial intelligence (AI) to ‘hallucinate’ false information is well known; AI-generated citations to non-existent sources have penetrated the bibliographies of peer-reviewed publications. D...