Probabilistic Directed Distance Fields for Ray-Based Shape Representations.

In modern computer vision, the optimal representation of 3D shape remains task-dependent. One fundamental operation applied to such representations is differentiable rendering, which enables learning-based inverse graphics approaches. Standard explicit representations are often easily rendered, but can suffer from limited geometric fidelity, among other issues.

Conduction in the Heart Wall: Helicoidal Fibers Minimize Diffusion Bias.

The mammalian heart must function as an efficient pump while simultaneously conducting electrical signals to drive the contraction process. In the ventricles, electrical activation begins at the insertion points of the Purkinje network in the endocardium. How does the diffusion component of the subsequent excitation wave propagate from the endocardium in a healthy heart wall without creating directional biases? We show that this is a consequence of the particular geometric organization of myocytes in the heart wall.

Boutiques: a flexible framework to integrate command-line applications in computing platforms.

We present Boutiques, a system to automatically publish, integrate, and execute command-line applications across computational platforms. Boutiques applications are installed through software containers described in a rich and flexible JSON language. A set of core tools facilitates the construction, validation, import, execution, and publishing of applications.

Molecular mechanism of DRP1 assembly studied in vitro by cryo-electron microscopy.

Mitochondria are dynamic organelles that continually adapt their morphology by fusion and fission events. An imbalance between fusion and fission has been linked to major neurodegenerative diseases, including Huntington's, Alzheimer's, and Parkinson's diseases. A member of the Dynamin superfamily, dynamin-related protein 1 (DRP1), a dynamin-related GTPase, is required for mitochondrial membrane fission.

Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli.

Neurons that respond selectively but in an invariant manner to a given feature of natural stimuli have been observed across species and systems. Such responses emerge in higher brain areas, thereby suggesting that they occur by integrating afferent input. However, the mechanisms by which such integration occurs are poorly understood.

Algorithmic approaches to protein-protein interaction site prediction.

Interaction sites on protein surfaces mediate virtually all biological activities, and their identification holds promise for disease treatment and drug design. Novel algorithmic approaches for the prediction of these sites have been produced at a rapid rate, and the field has seen significant advancement over the past decade. However, the most current methods have not yet been reviewed in a systematic and comprehensive fashion.

Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor.

Background: Transient protein-protein interactions (PPIs), which underly most biological processes, are a prime target for therapeutic development. Immense progress has been made towards computational prediction of PPIs using methods such as protein docking and sequence analysis. However, docking generally requires high resolution structures of both of the binding partners and sequence analysis requires that a significant number of recurrent patterns exist for the identification of a potential binding site.