Hydra: A High-throughput Virtual Screening Data Visualization and Analysis Tool
@inproceedings{Sera2016HydraAH, title={Hydra: A High-throughput Virtual Screening Data Visualization and Analysis Tool}, author={Curtis Sera and Shelby Matlock and Yasuhiro Watashiba and Koheix Ichikawa and Jason H. Haga}, booktitle={ICCS}, year={2016} }
2 Citations
Immersive Analytics Applications in Life and Health Sciences
- BiologyImmersive Analytics
- 2018
A brief overview of general applications of immersive analytics in the life and health sciences is presented, and a number of applications in detail are presented, such as immersive Analytics in structural biology, in medical image analytics, in neurosciences, in epidemiology, in biological network analysis and for virtual cells.
Broken Authentication and Session Management Vulnerability: A Case Study of Web Application
- Computer Science
- 2018
This paper has analyzed the authentication vulnerability attack i.e. Broken Authentication and Session Management, its exploitation types and their impact upon investigating on 267 websites of public and private sectors in Bangladesh.
References
SHOWING 1-10 OF 14 REFERENCES
ViewDock TDW: high-throughput visualization of virtual screening results
- BiologyBioinform.
- 2010
ViewDock TDW is a modification of the pre-existing ViewDock Chimera extension used to visualize results of virtual screening experiments by combing TDW hardware and an enhanced ViewDocking interface, dozens of ligand-protein complexes are rendered simultaneously to parallelize the analysis of candidate ligands.
Hydra: An HTML5-Based Application for High- Throughput Visualization of Ligand Docking
- Computer Science
- 2014
Hydra is an HTML5-based application for highthroughput visualization of molecular docking simulations that is platform agnostic, and therefore can be deployed quickly and cheaply across various hardware configurations.
UCSF Chimera—A visualization system for exploratory research and analysis
- Computer ScienceJ. Comput. Chem.
- 2004
Two unusual extensions are presented: Multiscale, which adds the ability to visualize large‐scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales.
DOCK 6: Impact of new features and current docking performance
- Computer ScienceJ. Comput. Chem.
- 2015
This manuscript presents the latest algorithmic and methodological developments to the structure‐based design program DOCK 6.7 focused on an updated internal energy function, new anchor selection…
ZINC: A Free Tool to Discover Chemistry for Biology
- BiologyJ. Chem. Inf. Model.
- 2012
The database contains over twenty million commercially available molecules in biologically relevant representations that may be downloaded in popular ready-to-dock formats and subsets and is freely available at zinc.docking.org.
3Dmol.js: molecular visualization with WebGL
- Computer ScienceBioinform.
- 2015
Summary: 3Dmol.js is a modern, object-oriented JavaScript library that uses the latest web technologies to provide interactive, hardware-accelerated three-dimensional representations of molecular…
Structure-Based Virtual Screening for Drug Discovery: a Problem-Centric Review
- BiologyThe AAPS Journal
- 2012
The recent advances and applications in SBVS are reviewed with a special focus on docking-based virtual screening and the researchers’ practical efforts in real projects are emphasized by understanding the ligand-target binding interactions as a premise.
Using chemical organization theory for model checking
- Computer ScienceBioinform.
- 2009
An algorithm is introduced that uncovers stoichiometric information that might be hidden in the kinetic laws of a reaction network and allows OT to apply to SBML models using modifiers and is concluded that this approach is a valuable tool that helps to improve the consistency of biomodels and their repositories.
Principles of early drug discovery
- Biology, ChemistryBritish journal of pharmacology
- 2011
This review will look at key preclinical stages of the drug discovery process, from initial target identification and validation, through assay development, high throughput screening, hit identification, lead optimization and finally the selection of a candidate molecule for clinical development.