AIMC Topic: Computational Biology

Clear Filters Showing 21 to 30 of 4583 articles

Learning structured population models from data with WSINDy.

PLoS computational biology
Characteristics of individuals in a population, such as age and size, play a key role in determining how populations change over time. In contexts of population dynamics, identifying effective model features, such as fecundity and mortality rates, is...

Molecular mechanisms of lipid metabolism abnormalities driving sepsis and atrial fibrillation: A Systematic study based on bioinformatics and machine learning.

PloS one
BACKGROUND: Sepsis and atrial fibrillation are complex, life-threatening medical conditions affecting approximately 49 million individuals globally, characterized by exceptionally high mortality rates. Lipid metabolism abnormalities play a critical r...

ProSECFPs: A Novel Fingerprint-Based Protein Representation Method for Missense Mutation Pathogenicity Prediction.

Journal of chemical information and modeling
Developing effective computational representations of protein sequences is crucial for advancing diverse areas of computational biology and bioinformatics. Ideal representations must be computationally efficient, scalable, informative, flexible acros...

Proteome-wide computational analyses reveal links between protein condensate formation and RNA biology.

Science advances
Biomolecular condensates mediate dynamic compartmentalization of cellular processes. The multivalent interactions that underlie biomolecular condensation are often promoted by intrinsically disordered regions (IDRs) within proteins. Although the role...

Multi-omics integrated analysis identifies causal risk factors and therapeutic targets for diabetic retinopathy.

Journal of translational medicine
BACKGROUND: Diabetic retinopathy (DR) is the main cause of blindness worldwide, and its prevalence rate is constantly rising. More in-depth exploration of its risk factors and pathogenic mechanisms is needed.

Advances in surrogate modeling for biological agent-based simulations: trends, challenges, and future prospects.

Journal of mathematical biology
Agent-based modeling (ABM) is a powerful computational approach for studying complex biological and biomedical systems, yet its widespread use remains limited by significant computational demands. As models become increasingly sophisticated, the numb...

A scalable equivariant graph network framework for precise protein function prediction.

Genome biology
BACKGROUND: Protein function research helps in understanding the complex biological processes that occur within cells. However, the intricate nature of protein structures and functions, along with the rapid growth of protein sequence data, presents a...

Impact of U2-type introns on splice site prediction in A. thaliana species using deep learning.

BMC bioinformatics
BACKGROUND: Splice site prediction in plant genomes poses substantial challenges that can be addressed using deep learning models. U2-type introns are especially useful for such studies given their ubiquity in plant genomes and the availability of ri...

Meltome Atlas of Arabidopsis thaliana proteome: a melting temperature-based identification of heat and cold resistant proteins using in-silico approach.

BMC genomics
BACKGROUND: Plants are always exposed to a variety of stressful environments, including heat and drought stress, which severely impact the growth, development, and productivity of the plants. To overcome such challenges, plants have evolved diverse a...

The effect of acetyl tributyl citrate on coronary heart disease: a comprehensive computational analysis.

BMC pharmacology & toxicology
BACKGROUND: Recent research suggests a link between acetyl tributyl citrate (ATBC) exposure and an increased risk of coronary heart disease (CHD).