ABSTRACT The global human population is exponentially increasing, which requires the production of quality food through efficient reproduction as well as sustainable production of livestock. Lack of knowledge and technology for assessing semen qualit... Read More
Computational Biology Research Articles
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Deciphering sperm functions using biological networks
- Biotechnology and Genetic Engineering Reviews
- VOL. ahead-of-print
on Feb 2, 2023
- Computational Biology
- Protein Networks
- NCBI
- Processes In Sperm
- Fertility In Animals
- Food Animal Production
- More +
Objective analysis of facial bone fracture CT images using curvature measurement in a surface mesh model
- Scientific Reports
- VOL. 13
on Feb 2, 2023
- BCSI
- Surface Mesh Model
- Inferior Orbital Rim
- Objective Analysis Of Images
- Discrete Curvature
- Curvature Values
- More +
The human facial skeleton consists of multiple segments and causes difficulty during analytic processes. We developed image analysis software to quantify the amount of injury and validate the smooth curvature of the surface after facial bone reductio... Read More
Conference Report on 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2022) [Conference Report]
- IEEE Computational Intelligence Magazine
- VOL. 18
on Feb 1, 2023
- Computational Biology
- Intelligence In Bioinformatics
- Conference Report
- Computational Intelligence
- Intelligence In Biology
- IEEE Conference
- More +
Exploration of Computational Aids for Effective Drug Designing and Management of Viral Diseases: A Comprehensive Review.
- Current Topics in Medicinal Chemistry
on Feb 1, 2023
- Understanding Of Host-microbe Interaction
- Management Of Viral Diseases
- Interface Of Biology
- Current COVID-19 Pandemic
- Microbial Diseases
- Microbial-host Interactions
- More +
Microbial diseases, specifically originating from viruses are the major cause of human mortality all over the world. The current COVID-19 pandemic is a case in point, where the dynamics of the viral-human interactions are still not completely underst... Read More
Preparation of a novel glucose oxidase-N-succinyl chitosan nanospheres and its antifungal mechanism of action against Colletotrichum gloeosporioides
- International Journal of Biological Macromolecules
- VOL. 228
on Feb 1, 2023
- Chitosan Nanospheres
- NSCS
- Free GOD
- Immobilization Of Glucose Oxidase
- GOD
- Postharvest Mangoes
- More +
In this work, a new glucose oxidase-N-succinyl chitosan (GOD-NSCS) nanospheres was prepared through the immobilization of glucose oxidase (GOD) on N-succinyl chitosan (NSCS) nanospheres. Compared to the free GOD, GOD-NSCS nanospheres demonstrated the... Read More
DOP02 Single cell RNA sequencing of Ulcerative Colitis and Crohn's Disease tissue samples informs the selection of Triggering Receptors Expressed on Myeloid Cells 1 (TREM1) as a target for the treatment of Inflammatory Bowel Diseases
- Journal of Crohn's and Colitis
- VOL. 17
on Jan 30, 2023
- TREM1
- Single Cell RNA Sequencing
- IBD
- Dysbiosis In IBD
- Analysis Of Single Cell Data
- Single Cell RNA Sequencing Data
- More +
Abstract Background Ulcerative colitis (UC) and Crohn’s disease (CD) are complex and heterogenous diseases characterized by chronic, progressive inflammation of the digestive tract. Single cell RNA ... Read More
SINGLE CELL RNA SEQUENCING OF ULCERATIVE COLITIS AND CROHN'S DISEASE TISSUE SAMPLES INFORMS THE SELECTION OF TREM1 AS A TARGET FOR THE TREATMENT OF INFLAMMATORY BOWEL DISEASES
- Inflammatory Bowel Diseases
- VOL. 29
on Jan 26, 2023
- TREM1
- Inflamed Samples
- Single Cell RNA Sequencing
- IBD
- TREM1 Signaling
- Dysbiosis In IBD
- More +
Abstract Ulcerative colitis (UC) and Crohn’s disease (CD) are complex and heterogenous diseases characterized by chronic and progressive inflammation of the digestive tract. Single cell RNA sequencing combined with computational biolog... Read More
MOZART, a QSAR Multi-Target Web-Based Tool to Predict Multiple Drug–Enzyme Interactions
- Molecules
- VOL. 28
on Jan 25, 2023
- Computational Biology
- Untested Targets
- Free Open-source Software
- Artificial Neural Network Multi-layer Perceptron
- QSAR
- ANN
- More +
Developing models able to predict interactions between drugs and enzymes is a primary goal in computational biology since these models may be used for predicting both new active drugs and the interactions between known drugs on untested targets. With... Read More
Descriptive and predictive analysis identify centenarians' characteristics from the Basque population
- Frontiers in Public Health
- VOL. 10
on Jan 25, 2023
- Descriptive Analysis
- Basque Country
- Basque Population
- Biological Profiles
- Lower Levels Of Triglycerides
- Biological Data
- More +
BackgroundCentenarians exhibit extreme longevity and have been postulated, by some researchers, as a model for healthy aging. The identification of the characteristics of centenarians might be useful to understand the process of human aging.MethodsIn... Read More
Guiding Drug Repositioning for Cancers Based on Drug Similarity Networks
- International Journal of Molecular Sciences
- VOL. 24
on Jan 23, 2023
- Prognosis Of NSCLC
- Drug Similarity Network
- NSCLC
- Cancer-related Pathways
- Network-based Computational Approaches
- Drug Repurposing
- More +
Drug repositioning aims to discover novel clinical benefits of existing drugs, is an effective way to develop drugs for complex diseases such as cancer and may facilitate the process of traditional drug development. Meanwhile, network-based computati... Read More
Geometric analysis enables biological insight from complex non-identifiable models using simple surrogates
- PLOS Computational Biology
- VOL. 19
on Jan 20, 2023
- Computational Biology
- Non-identifiable Parameters
- Map In Parameter Space
- Identifiable Parameter Combinations
- Gompertz Growth Models
- Surrogate Model
- More +
An enduring challenge in computational biology is to balance data quality and quantity with model complexity. Tools such as identifiability analysis and information criterion have been developed to harmonise this juxtaposition, yet cannot always reso... Read More
PGAGP: Predicting pathogenic genes based on adaptive network embedding algorithm
- Frontiers in Genetics
- VOL. 13
on Jan 20, 2023
- Gaussian Random Projection
- Field Of Computational Biology
- Heterogeneous Network
- Features Of Nodes
- Meaningful Task
- Low-dimensional Features
- More +
The study of disease-gene associations is an important topic in the field of computational biology. The accumulation of massive amounts of biomedical data provides new possibilities for exploring potential relations between diseases and genes through... Read More
Female Dynamics in Authorship of Scientific Publications in the Public Library of Science: A 10-year Bibliometric Analysis of Biomedical Research
- European Journal of Investigation in Health, Psychology and Education
- VOL. 13
on Jan 20, 2023
- PLoS Computational Biology
- Proportion Of Female First Authors
- PLoS Journals
- Authorship Of Scientific Publications
- Gender Of Authors
- PLoS Pathogens
- More +
Women are generally underrepresented in science, technology, engineering, and mathematics (STEM). As scientific production reflects scholarly impact and participation in the scientific process, the number of journal publications forms a pertinent mea... Read More
Hyperbolic matrix factorization improves prediction of drug-target associations
- Scientific Reports
- VOL. 13
on Jan 18, 2023
- Low Dimensional Euclidean Space
- Drug-target Interaction Prediction
- Numerical Optimization Techniques
- Euclidean Methods
- DTI
- Geometry Of Space
- More +
Past research in computational systems biology has focused more on the development and applications of advanced statistical and numerical optimization techniques and much less on understanding the geometry of the biological space. By representing bio... Read More
Learning the structure of the mTOR protein signaling pathway from protein phosphorylation data
- Journal of Applied Statistics
- VOL. ahead-of-print
on Jan 18, 2023
- Computational Biology
- Protein Phosphorylation Data
- Network Reconstruction Methods
- Data Imputation Methods
- Computational Systems Biology
- Protein Signaling Pathway
- More +
Statistical learning of the structures of cellular networks, such as protein signaling pathways, is a topical research field in computational systems biology. To get the most information out of experimental data, it is often required to develop a tai... Read More
Advancing our knowledge of antigen processing with computational modelling, structural biology, and immunology
- Biochemical Society Transactions
on Jan 16, 2023
- Antigen Processing
- Antigen Processing Pathway
- MHC-I Pathway
- Intracellular Peptides
- Cell Vaccines
- Machine Learning Techniques
- More +
Antigen processing is an immunological mechanism by which intracellular peptides are transported to the cell surface while bound to Major Histocompatibility Complex molecules, where they can be surveyed by circulating CD8+ or CD4+ T-cells, potentiall... Read More
GPCR Allostery: a View from Computational Biology
- Current Medicinal Chemistry
- VOL. 30
on Jan 13, 2023
- Computational Biology
- GPCR
- Conformational Dynamics
- Protein-coupled Receptor
- Current Limitations
- Pathological Processes
- More +
Abstract: G protein-coupled receptors (GPCRs) represent a large superfamily of cell-surface proteins that mediate cell signaling and regulate virtually various aspects of physiological and pathological processes, therefore serving as a rich source o... Read More
Discovering untapped microbial communities through metagenomics for microplastic remediation: recent advances, challenges, and way forward
- Environmental Science and Pollution Research
on Jan 13, 2023
- Computational Biology
- MP
- Role Of MGs
- MGs
- MP Accumulation
- Prediction Of Genes
- More +
Microplastics (MPs) are ubiquitous pollutants persisting almost everywhere in the environment. With the increase in anthropogenic activities, MP accumulation is increasing enormously in aquatic, marine, and terrestrial ecosystems. Owing to the slow d... Read More
Sherlock: an open-source data platform to store, analyze and integrate Big Data for computational biologists
- F1000Research
- VOL. 10
on Jan 12, 2023
- JSON
- Specific File Formats
- Big Data
- Era Of Big Data
- Big Data Technologies
- Expression Databases
- More +
In the era of Big Data, data collection underpins biological research more than ever before. In many cases, this can be as time-consuming as the analysis itself. It requires downloading multiple public databases with various data structures, and in g... Read More
ISCB Student Council Symposium 2021, a virtual global venue: challenges and lessons learned
- F1000Research
- VOL. 12
on Jan 12, 2023
- Computational Biologists
- ISCB Student Council
- SCS
- Student Council
- COVID-19
- Pandemic Situation
- More +
Since 2004, the ISCB Student Council has been organizing different symposia worldwide, gathering together the community of young computational biologists. Due to the coronavirus disease 2019 (COVID-19) pandemic situation, the world scientific communi... Read More