A5049536946- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Long-Term Effects of COVID-19
- Glycosylation and Glycoproteins Research
- COVID-19 Clinical Research Studies
- Plant Genetic and Mutation Studies
- Monoclonal and Polyclonal Antibodies Research
- Water Quality Monitoring Technologies
- Food Waste Reduction and Sustainability
- Computational Drug Discovery Methods
- Gut microbiota and health
- Enzyme Structure and Function
- vaccines and immunoinformatics approaches
- Mycobacterium research and diagnosis
- Genetically Modified Organisms Research
- BRCA gene mutations in cancer
- Metabolomics and Mass Spectrometry Studies
- Protein Degradation and Inhibitors
- Machine Learning in Healthcare
- Genomics and Rare Diseases
- Water Treatment and Disinfection
- Ubiquitin and proteasome pathways
- Air Quality Monitoring and Forecasting
- Cardiovascular Health and Risk Factors
- Inflammasome and immune disorders
International University of Sarajevo
2017-2025
The human microbiome has emerged as a central research topic in biology and biomedicine. Current studies generate high-throughput omics data across different body sites, populations, life stages. Many of the challenges are similar to other studies, quantitative analyses need address heterogeneity data, specific statistical properties, remarkable variation composition individuals sites. This led broad spectrum machine learning that range from study design, processing, standardization...
Abstract Tools for predicting COVID-19 outcomes enable personalized healthcare, potentially easing the disease burden. This collaborative study by 15 institutions across Europe aimed to develop a machine learning model risk of in-hospital mortality post-SARS-CoV-2 infection. Blood samples and clinical data from 1286 patients collected 2020 2023 four cohorts in Canada were analyzed, with 2906 long non-coding RNAs profiled using targeted sequencing. From discovery cohort combining three...
Increasing evidence is demonstrating that a patient's unique genetic profile can be used to detect the disease's onset, prevent its progression, and optimize treatment. This led increased global efforts implement personalized medicine (PM) pharmacogenomics (PG) in clinical practice. Here we investigated perceptions of students from different universities Bosnia Herzegovina (BH) towards PG/PM as well related ethical, legal, social implications (ELSI). descriptive, cross-sectional study based...
Objectives: Due to the complexity of DNA-Repair Mechanisms in Plants, this work will give more insights better understanding dark DNA-repair mechanism through interactome analysis DDBs proteins plants. Method: Bioinformatics tools had been used analyses DNA Damage-Binding proteins; MSA, Phylogenetic tree construction, 3-D structure prediction, Domain analysis, subcellular localization Interactome and docking sites. Result: DDB1a DDB1b are closely related, while DDB2 protein is on other...
This research was focused on testing two water filters - Brita and Profissimo, which were filtering five liters of every day. The lifespan used is four weeks, while they have been actively for eight weeks in this study to check their efficiency after exceeded usage. Along with this, the quality tap water, filtered using these types filters, also tested. experiment whole divided into three main stages: microbiological analysis, biochemical UV-VIS spectrophotometric analysis water....
Introduction/Background: Cardiovascular symptoms appear in a high proportion of patients the few months following severe SARS-CoV-2 infection. Non-invasive methods to predict disease severity could help personalizing healthcare and reducing occurrence these symptoms. Research Questions/Hypothesis: We hypothesized that blood long noncoding RNAs (lncRNAs) machine learning (ML) COVID-19 severity. Goals/Aims: To develop model based on lncRNAs ML for predicting Methods/Approach: Expression data...
In order to define the term GMO, different scientific definitions and legal explanations are available. regulation process of GM foods, US EU frameworks based on methodologies themselves. Currently, for production GMOs, several genome editing tools Along with site-directed nucleases (ZFN, TALENs, etc.), RNAi CRISPR/Cas9 have proven be very effective editing. According current legislative, introduced in 2018, techniques regulated as methods that produce because methodology itself resembles...
Clean water is essential to our existence and problems might arise when it becomes contaminated with different pathogens, which pose a threat human health. Tap generally considered drinkable since passes forms of disinfection during processing. Some households have additional procedures, the most common one being usage charcoal filters, in order further clean tap from both undesirable solvents microorganisms. In first independent study this kind, we tested for bacteria five locations...
Proteins are in the focus of research due to their importance as biological catalysts various cellular processes and diseases. Since experimental study proteins is time-consuming expensive, silico prediction analysis common. Template-based most reliable, which why aim this analyze how important primary features for quality score. Statistical shows that protein models with a resolution lower than 3 Å or R value 0.25 have higher scores when compared individually counterparts. Machine learning...
Chou, and Fasman developed the first empirical prediction method to predict secondary structure of proteins from their amino acid sequences. Subsequently, a more sophisticated GOR has been developed. Although it became very popular among biologists, accuracy was only slightly better than random. A significant improvement in >70% achieved by ‘second generation’ methods such as PHD, SAM-T98, PSIPRED, which utilized information concerning sequence conservation. Only recently F. B. Akcesme local...
In an article (Akcesme, and Can 2015), authors examined the relation between primary secondary structure mismatches of substrings length seventeen residues from two different proteins. They have shown that in corresponding sequence same mostly lag behind mismatches. PhD dissertation thesis (Akcesme 2016) author possibility prediction by use smaller conserved segments created a software AVISENNA outperforms PSIPRED all other available tools. another et. al. 2017), issue how far proteins can...
Objectives: The main goal of this study was to decipher the role CSA homologues in DNA damage repair machinery Arabidopsis thaliana. Keywords: 3D structure, protein, mechanism, homolog, interactome, UV radiation.
Experimental methods used for characterizing epitopes that play a vital role in the development of peptide vaccines, diagnosis diseases, and also allergy research are time consuming need huge resources. There many online epitope prediction tools can help experimenters short listing candidate peptides. To predict B-cell an antigenic sequence, Jordan recurrent neural network (JRNN) found to be more successful. train test networks, 262.583 B retrieved from IEDB database. 99.9% these have...
Protein structure prediction is an important process that carries a lot of benefits for various areas science and industry. Template modeling the most reliable popular method, depending on solved structures from Data Bank. An part it template selection, using different methods, which challenging task requires special attention because proper selection protein can lead to more accurate prediction. This study focuses relationships between predicted proteins, taken Swiss-model repository, their...