About the need to make computational models of biological macromolecules available and discoverable

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Background: Modeling the whole cardiac function involves the solution of several complex multi-physics and multi-scale models that are highly computationally demanding, which call for simpler yet accurate, high-performance computational tools. Despite the ...

The need for reproducible, credible, multiscale biological modeling has led to the development of standardized simulation platforms, such as the widely-used NEURON environment for computational neuroscience. Developing and maintaining NEURON over several d ...

Background: Large-scale proteomic studies have to deal with unwanted variability, especially when samples originate from different centers and multiple analytical batches are needed. Such variability is typically added throughout all the steps of a clinica ...

Isogeometric shape optimization has been now studied for over a decade. This contribution aims at compiling the key ingredients within this promising framework, with a particular attention to sensitivity analysis. Based on all the researches related to iso ...

Cis2-His2 zinc finger (C2H2-ZF) proteins are the largest family of transcription factors in human and higher metazoans. To date, the DNA-binding preferences of many members of this family remain unknown. We have developed a computational method to predict ...

Synaptic changes induced by neural activity need to be consolidated to maintain memory over a timescale of hours. In experiments, synaptic consolidation can be induced by repeating a stimulation protocol several times and the effectiveness of consolidation ...

While most models of randomly connected neural networks assume single-neuron models with simple dynamics, neurons in the brain exhibit complex intrinsic dynamics over multiple timescales. We analyze how the dynamical properties of single neurons and recurr ...

Microbial production of desired compounds provides an efficient framework for the development of renewable energy resources. To be competitive to traditional chemistry, one requirement is to utilize the full capacity of the microorganism to produce target ...

About the need to make computational models of biological macromolecules available and discoverable

Chat with Graph Search

lifex-fiber: an open tool for myofibers generation in cardiac computational models

Modernizing the NEURON Simulator for Sustainability, Portability, and Performance

Assessing normalization methods in mass spectrometry-based proteome profiling of clinical samples

Editorial Overview: Mathematical modeling: It's a matter of scale

A New Lighting on Analytical Discrete Sensitivities in the Context of IsoGeometric Shape Optimization

On the prediction of DNA-binding preferences of C2H2-ZF domains using structural models: application on human CTCF

Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks

Integrating computational methods to retrofit enzymes to synthetic pathways