Auflistung Nach Schlagwort "Computational Biology"
Anzeige der Dokumente 21-40 von 40
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Manatee: detection and quantification of small non-coding RNAs from next-generation sequencing data
(2020)Small non-coding RNAs (sncRNAs) play important roles in health and disease. Next Generation Sequencing (NGS) technologies are considered as the most powerful and versatile methodologies to explore small RNA (sRNA) ... -
Meta-analysis and bioinformatics detection of susceptibility genes in diabetic nephropathy
(2022)The latest meta-analysis of genome-wide linkage studies (GWLS) identified nine cytogenetic locations suggestive of a linkage with diabetic nephropathy (DN) due to type 1 diabetes mellitus (T1DM) and seven locations due to ... -
microTSS: Accurate microRNA transcription start site identification reveals a significant number of divergent pri-miRNAs
(2014)A large fraction of microRNAs (miRNAs) are derived from intergenic non-coding loci and the identification of their promoters remains 'elusive'. Here, we present microTSS, a machine-learning algorithm that provides highly ... -
Mining the Protein Data Bank to improve prediction of changes in protein-protein binding
(2021)Predicting the effect of mutations on protein-protein interactions is important for relating structure to function, as well as for in silico affinity maturation. The effect of mutations on protein-protein binding energy ... -
mirPub: a database for searching microRNA publications
(2015)A Summary: Identifying, amongst millions of publications available in MEDLINE, those that are relevant to specific microRNAs (miRNAs) of interest based on keyword search faces major obstacles. References to miRNA names in ... -
Molecular determinants of radiosensitivity in normal and tumor tissue: A bioinformatic approach
(2017)Although radiation therapy is a treatment of choice for cancer, a high percentage of patients develop adverse effects in normal tissue following radiotherapy, mainly, due to genetic factors. Notably, although it is established ... -
Multi-branch Convolutional Neural Network for Identification of Small Non-coding RNA genomic loci
(2020)Genomic regions that encode small RNA genes exhibit characteristic patterns in their sequence, secondary structure, and evolutionary conservation. Convolutional Neural Networks are a family of algorithms that can classify ... -
Nicotinic cholinergic system and covid-19: In silico identification of an interaction between sars-cov-2 and nicotinic receptors with potential therapeutic targeting implications
(2020)While SARS-CoV-2 uses angiotensin converting enzyme 2 (ACE2) as the receptor for cell entry, it is important to examine other potential interactions between the virus and other cell receptors. Based on the clinical observation ... -
Novel candidate genes of the PARK7 interactome as mediators of apoptosis and acetylation in multiple sclerosis: An in silico analysis
(2018)Background currently only 4 studies have explored the potential role of PARK7's dysregulation in MS pathophysiology Currently, no study has evaluated the potential role of the PARK7 interactome in MS. Objective The aim of ... -
A novel deep intronic SERPING1 variant as a cause of hereditary angioedema due to C1-inhibitor deficiency
(2020)Background: In about 5% of patients with hereditary angioedema due to C1-inhibitor deficiency (C1-INH-HAE) no mutation in the SERPING1 gene is detected. Methods: C1-INH-HAE cases with no mutation in the coding region of ... -
Poly(A)-specific ribonuclease and Nocturnin in squamous cell lung cancer: Prognostic value and impact on gene expression
(2015)Background: Lung cancer is the leading cause of cancer mortality worldwide, mainly due to late diagnosis, poor prognosis and tumor heterogeneity. Thus, the need for biomarkers that will aid classification, treatment and ... -
PRED-TMBB2: Improved topology prediction and detection of beta-barrel outer membrane proteins
(2016)Motivation: The PRED-TMBB method is based on Hidden Markov Models and is capable of predicting the topology of beta-barrel outer membrane proteins and discriminate them from water-soluble ones. Here, we present an updated ... -
Predicting alpha helical transmembrane proteins using HMMs
(2017)Alpha helical transmembrane (TM) proteins constitute an important structural class of membrane proteins involved in a wide variety of cellular functions. The prediction of their transmembrane topology, as well as their ... -
Predicting beta barrel transmembrane proteins using HMMs
(2017)Transmembrane beta-barrels (TMBBs) constitute an important structural class of membrane proteins located in the outer membrane of gram-negative bacteria, and in the outer membrane of chloroplasts and mitochondria. They are ... -
Prediction and Ranking of Biomarkers Using multiple UniReD
(2022)Protein–protein interactions (PPIs) are of key importance for understanding how cells and organisms function. Thus, in recent decades, many approaches have been developed for the identification and discovery of such ... -
Protein-protein interaction (ppi) network: Recent advances in drug discovery
(2017)Background: The investigation of the cellular components, their interactions and related functions constitute the major conditions in order to understand the cell as an integrated system. More specifically, the Protein-Protein ... -
Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes
(2017)Background: MicroRNAs (miRNAs) in circulation have emerged as promising biomarkers. In this study, we aimed to identify a circulating miRNA signature for osteoarthritis (OA) patients and in combination with bioinformatics ... -
A shape descriptor for fast complementarity matching in molecular docking
(2011)This paper presents a novel approach for fast rigid docking of proteins based on geometric complementarity. After extraction of the 3D molecular surface, a set of local surface patches is generated based on the local surface ... -
Thumb duplication: molecular analysis of different clinical types
(2019)Purpose: Molecular analysis of different types of thumb duplication and identification of new suspected gene mutations. Materials and methods: In a series of patients operated for polydactyly, DNA was extracted from blood ... -
Using Combined Diagnostic Test Results to Hindcast Trends of Infection from Cross-Sectional Data
(2016)Infectious disease surveillance is key to limiting the consequences from infectious pathogens and maintaining animal and public health. Following the detection of a disease outbreak, a response in proportion to the severity ...