3DSpineMFE
A MATLAB® toolbox that given a three-dimensional spine reconstruction computes a set of characteristic morphological measures that unequivocally determine the spine shape.
MLCE stands for Matrix of Lowest Coupling Energies and they can be used to represent the region of the protein lowest dynamically coupled. This means that they are also the most prone to be involved in interaction with external partners.
Mathematically speaking this process is an energy decomposition method, which starts with the calculation of the unbound part of the potential E (van der Waals, electrostatic interactions, solvent effects) through an MM/GBSA calculation:
Since the first eigenvector contains most of the relevant energy information about the interactions in the system, we can approximate the matrix energy to the first eigenvector:
Finally, we can filter the approximated interaction matrix Mij for residues that are in geometric proximity in the structure (closer than 6Å):
A MATLAB® toolbox that given a three-dimensional spine reconstruction computes a set of characteristic morphological measures that unequivocally determine the spine shape.
Arbor is a high-performance library for computational neuroscience simulations with multi-compartment, morphologically-detailed cells, from single cell models to very large networks. Arbor is written from the ground up with many-cpu and gpu architectures in mind, to help neuroscientists effectively use contemporary and future HPC systems to meet their simulation needs. Arbor supports NVIDIA and AMD GPUs as well as explicit vectorization on CPUs from Intel (AVX, AVX2 and AVX512) and ARM (Neon and SVE). When coupled with low memory overheads, this makes Arbor an order of magnitude faster than the most widely-used comparable simulation software. Arbor is open source and openly developed, and we use development practices such as unit testing, continuous integration, and validation.
ArDock employs the arbitrary docking method to reveal potential interaction sites on the surface of a protein by computationally docking a set of random protein “probes”. The random probes interact in a non-random manner on protein surfaces, and the targeted regions are enriched in biological interfaces. Docking is performed on input protein structures using the Hex software. The ArDock webserver performs the docking calculations and provides tools for the combined analysis of protein structures and sequences and for the visualization of the results to identify interaction sites.
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