AIMC Topic: Models, Biological

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Too Many False Targets for MicroRNAs: Challenges and Pitfalls in Prediction of miRNA Targets and Their Gene Ontology in Model and Non-model Organisms.

BioEssays : news and reviews in molecular, cellular and developmental biology
Short ("seed") or extended base pairing between microRNAs (miRNAs) and their target RNAs enables post-transcriptional silencing in many organisms. These interactions allow the computational prediction of potential targets. In model organisms, predict...

On discrete time Beverton-Holt population model with fuzzy environment.

Mathematical biosciences and engineering : MBE
In this work, dynamical behaviors of discrete time Beverton-Holt population model with fuzzy parameters are studied. It provides a flexible model to fit population data. For three different fuzzy parameters and fuzzy initial conditions, according to ...

Stability properties of neural networks with non-instantaneous impulses.

Mathematical biosciences and engineering : MBE
In this paper, we consider neural networks in the case when the neurons are subject to a certain impulsive state displacement at fixed moments and the duration of this displacement is not negligible small (these are known as non-instantaneous impulse...

Childhood Asthma: Advances Using Machine Learning and Mechanistic Studies.

American journal of respiratory and critical care medicine
A paradigm shift brought by the recognition that childhood asthma is an aggregated diagnosis that comprises several different endotypes underpinned by different pathophysiology, coupled with advances in understanding potentially important causal mech...

Parsing human and biophysical drivers of coral reef regimes.

Proceedings. Biological sciences
Coral reefs worldwide face unprecedented cumulative anthropogenic effects of interacting local human pressures, global climate change and distal social processes. Reefs are also bound by the natural biophysical environment within which they exist. In...

Lyapunov functional for virus infection model with diffusion and state-dependent delays.

Mathematical biosciences and engineering : MBE
In this paper, a virus dynamics model with diffusion, state-dependent delays and a general nonlinear functional response is investigated. At first, the dynamical system is constructed on a nonlinear metric space. Then the stability of the interior eq...

An account of in silico identification tools of secreted effector proteins in bacteria and future challenges.

Briefings in bioinformatics
Bacterial pathogens secrete numerous effector proteins via six secretion systems, type I to type VI secretion systems, to adapt to new environments or to promote virulence by bacterium-host interactions. Many computational approaches have been used i...

A Review of Magnetically Actuated Milli/Micro-Scale Robots Locomotion and Features.

Critical reviews in biomedical engineering
In the past decades, wireless milli and micro devices have been incorporated into medical procedures as a way to reduce invasiveness. However, the commercially available methods still consist of passive locomotion devices, which is a limiting factor ...

Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

Health security
The type of host that a virus can infect, referred to as host specificity or tropism, influences infectivity and thus is important for disease diagnosis, epidemic response, and prevention. Advances in DNA sequencing technology have enabled rapid meta...

Blood Brain Barrier Permeability Prediction Using Machine Learning Techniques: An Update.

Current pharmaceutical biotechnology
Blood Brain Barrier (BBB) is the collection of vessels of blood with special properties of permeability that allow a limited range of drug and compounds to pass through it. The BBB plays a vital role in maintaining balance between intracellular and e...