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RIP-MD: a tool to study residue interaction networks in protein molecular dynamics
(PEERJ INC, 2018)
Protein structure is not static; residues undergo conformational rearrangements and, in doing so, create, stabilize or break non-covalent interactions. Molecular dynamics (MD) is a technique used to simulate these movements ...
Network analysis of dynamically important residues in protein structures mediating ligand-binding conformational changes
(Springer, 2019-07)
According to the generalized conformational selection model, ligand binding involves the co-existence of at least two conformers with different ligand-affinities in a dynamical equilibrium. Conformational transitions between ...
CALI: a novel model for visual mining of biological relevant patterns in protein-ligand graphs
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃOPrograma de Pós-Graduação em Ciência da ComputaçãoUFMG, 2016-10-27)
Protein-ligand interaction (PLI) networks show how proteins interact with small nonprotein
ligands and can be used to study molecular recognition, which plays an important
role in biological systems. The binding and ...
Fish-food interaction network around cage fish farming in a neotropical reservoirRede de interações peixe-alimento ao redor de piscicultura com tanque-rede em um reservatório neotropical
(2021-01-01)
Aim: Investigating whether wild fish accept residual ration from cage fish farming to the point of changing their diet and the fish-food interaction network. Methods: The diet of fish species, Astyanax lacustris, Iheringichthys ...
Motivic Pattern Classification of Music Audio Signals Combining Residual and LSTM Networks
Motivic pattern classification from music audio recordings is a challenging task. More so in the case of a cappella flamenco cantes, characterized by complex melodic variations, pitch instability, timbre changes, extreme ...
Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments
(2021-07-01)
Recently, we have witnessed Deep Learning methodologies gaining significant attention for severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its severity, are of paramount importance in ...
Mapping the mutual information network of enzymatic families in the protein structure to unveil functional features
(Public Library of Science, 2012-07)
Amino acids committed to a particular function correlate tightly along evolution and tend to form clusters in the 3D structure of the protein. Consequently, a protein can be seen as a network of co-evolving clusters of ...
Protein cutoff scanning: A comparative analysis of cutoff dependent and cutoff free methods for prospecting contacts in proteins
(Wiley-blackwellHobokenEUA, 2009)
Intrinsic disorder associated with 14-3-3 proteins and their partners
(Elsevier, 2019-01)
Protein-protein interactions (PPIs) mediate a variety of cellular processes and form complex networks, where connectivity is achieved owing to the “hub” proteins whose interaction with multiple protein partners is facilitated ...