Advertisement
Striated myocyte structural integrity: Automated analysis of sarcomeric z-discs

March 4, 2020

Striated myocyte structural integrity: Automated analysis of sarcomeric z-discs

Image credit: Morris et al, pcbi.1007676.

03/03/2020

Research Article

Fly-QMA: Automated analysis of mosaic imaginal discs in Drosophila

It is becoming clear that quantitative models are needed to unravel the complexities of many biological systems. In this manuscript Bernasek et al. introduce a computational framework that automates the quantification of mosaic analysis for Drosophila imaginal discs, a common setting for studies of developmental processes. They validate the performance of their framework using both real and synthetic data.

Image credit: Bernasek et al, pcbi.1007406.

Fly-QMA: Automated analysis of mosaic imaginal discs in Drosophila

Recently Published Articles

See all articles
Current Issue

Current Issue December 2020

03/02/2020

Research Article

Direct coupling analysis of epistasis in allosteric materials

Allostery in proteins is the property of highly specific responses to ligand binding at a distant site. To inform protocols of de novo drug design, it is fundamental to understand the impact of mutations on allosteric regulation and whether it can be predicted from evolutionary correlations. In this work Bravi et al. consider allosteric architectures artificially evolved to optimize the cooperativity of binding at allosteric and active site.

Image credit: Bravi et al, pcbi.1007630.

Direct coupling analysis of epistasis in allosteric materials

03/02/2020

Research Article

Modular analysis of the control of flagellar Ca2+-spike trains produced by CatSper and CaV channels in sea urchin sperm

How the calcium spikes crucial to sperm navigation are regulated and timed remains elusive. Different calcium channels have been implicated by indirect experimental evidence giving rise to a complex network of putative interacting components. Priego-Espinosa et al. gained insight into this network's structure and function by modelling it as a set of candidate modules that could be studied separately.

Image credit: Priego-Espinosa et al, pcbi.1007605.

Modular analysis of the control of flagellar Ca2+-spike trains produced by CatSper and CaV channels in sea urchin sperm

01/21/2020

Research Article

Between-tumor and within-tumor heterogeneity in invasive potential

Metastasis is difficult to study because it happens deep in the body and involves a fraction of cells from the primary tumor. Individual cells within a tumor can behave very differently, leading to failures of therapies. Padmanaban et al. exploit heterogeneity to develop new methods to identify molecular mechanisms of metastasis.

Between-tumor and within-tumor heterogeneity in invasive potential

Image credit: Padmanaban et al, pcbi.1007464.

01/21/2020

Research Article

Learning spatiotemporal signals using a recurrent spiking network that discretizes time

Previous studies have successfully built spiking network models that learn a variety of computational tasks, yet often the learning involved is not biologically plausible. Maes et al. investigate a model that uses biological-plausible neurons and learning rules to learn a specific computational task: the learning of spatiotemporal sequences.

Learning spatiotemporal signals using a recurrent spiking network that discretizes time

Image credit: Maes et al, pcbi.1007606.

11/18/2019

Featured Collection

Targeted Anticancer Therapies and Precision Medicine in Cancer

These articles represent diverse facets of ongoing efforts in this area, where general knowledge of cancers informs individual patient’s care, and particulars from individual cases contribute to our general knowledge pool.

Targeted Anticancer Therapies and Precision Medicine in Cancer

Image credit: Kønig et al, pcbi.1007485.

11/26/2009

Featured Issue Image

Motion computation on the fly.

This image shows a hoverfly, Eristalis tenax, face to face with a VLSI vision chip that mimics neurons involved in real-time motion processing. 

Motion computation on the fly.

Image credit: David C O'Carroll (The University of Adelaide)

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