Advertisement

Recently Published Articles

Current Issue

Current Issue April 2021

03/12/2021

Research Article

Aggregation of Aβ40/42 chains in the presence of cyclic neuropeptides investigated by molecular dynamics simulations

Wu et al. use molecular dynamics simulations to look at  the influence of somatostatin-14 (SST14), a cyclic neuropeptide that might be involved in the amyloidogenic aggregation of Aβ, on molecular processes occurring at the onset of Aβ aggregation. Results explain how the presence of SST14 might alter pathways of aggregation of Aβ and shed light on the possible role of extrinsic factors in the aggregation at a molecular level.

Image credit: Wu et al. pcbi.1008771

Aggregation of Aβ40/42 chains in the presence of cyclic neuropeptides investigated by molecular dynamics simulations

03/30/2021

Editorial (invitation only)

Collaborating with our community to increase code sharing

Given how essential newly developed code can be to computational biology research the Editorial Board of PLOS Computational Biology, in consultation with computational biology researchers, developed a new more-rigorous code policy that is intended to increase code sharing on publication of articles.

Image credit: StockSnap/ pixabay.

Collaborating with our community to increase code sharing

03/17/2021

Research Article

SARS-CoV-2 viral dynamics in non-human primates

Gonçalves et al. used a mathematical model to characterize the viral dynamics (of SARS-CoV-2) in cynomolgus macaques for which nasopharyngeal and tracheal viral load were frequently assessed. Their results provide estimates of SARS-CoV-2 viral kinetic parameters in an experimental model of mild infection and they provide means to assess the efficacy of future antiviral treatments.

SARS-CoV-2 viral dynamics in non-human primates

Image credit: Gonçalves et al. pcbi.1008785

03/11/2021

Research Article

Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease

Panaggio et al. apply two machine learning approaches to data from patients with sickle cell disease, who often experience debilitating pain crises. They developed both sequential and non-sequential probabilistic models that can be used to infer pain levels or changes in pain from sequences of physiological measures. 

Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease

Image credit: Panaggio et al. pcbi.1008542

11/18/2019

Featured Collection

Ten Simple Rules

"Ten Simple Rules" provide a quick, concentrated guide for mastering some of the professional challenges research scientists face in their careers.

Ten Simple Rules

Image credit: PLOS

05/05/2020

Featured Blog Post

Improving reproducibility of computational models

In this piece, we announce a pilot (now closed) to support reproducibility by offering expert technical peer review, specifically checking that submitted systems biology or physiology-based models run according to the results presented in the manuscript.

.

Improving reproducibility of computational models

Image credit: PLOS.

Get new content from PLOS Computational Biology in your inbox

Thank you! You have successfully subscribed to the PLOS Computational Biology newsletter.

Sorry, an error occurred while sending your subscription. Please try again later.

Try again