Structural Topology of Glycoprotein Surface Networks Using High Throughput Atomistic Modeling and Graph Theory

Biophysical Journal - United States
doi 10.1016/j.bpj.2018.11.925
Full Text
Abstract

Available in full text

Categories
Biophysics
Date
Authors
Publisher

Elsevier BV

Related search

A Chemical Group Graph Representation for Efficient High-Throughput Analysis of Atomistic Protein Simulations

Journal of Bioinformatics and Computational Biology
BiochemistryComputer Science ApplicationsMolecular Biology
2012English

Modeling of Throughput in Production Lines Using Response Surface Methodology and Artificial Neural Networks

Complexity
MultidisciplinaryComputer Science
2018English

Towards a Bipartite Graph Modeling of the Internet Topology

Computer Networks
Computer NetworksCommunications
2013English

Mapping the Neuropsychological Profile of Temporal Lobe Epilepsy Using Cognitive Network Topology and Graph Theory

Epilepsy and Behavior
NeurologyBehavioral Neuroscience
2016English

Routing of Branched Water Distribution Networks Using Fractal Geometry and Graph Theory

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2019English

Simulating Activation Propagation in Social Networks Using the Graph Theory

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
AgriculturalBiological Sciences
2010English

High-Throughput Protein Structural Mapping Using Transition Metal FRET

Biophysical Journal
Biophysics
2012English

Screening for High-Performance Piezoelectrics Using High-Throughput Density Functional Theory

Physical Review B
2011English

Cluster Modelling for Cognitive Radio Ad-Hoc Networks Using Graph Theory

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy