Articles by Shashank Jariwala in JoVE
Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web Shashank Jariwala*1, Lars Skjærven*2, Xin-Qiu Yao1, Barry J. Grant1 1Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, 2Department of Biomedicine, University of Bergen A protocol for the online investigation of protein sequence-structure-dynamics relationships using Bio3D-web is presented.
Other articles by Shashank Jariwala on PubMed
Adapting a Database of Text Messages to a Mobile-based Weight Loss Program: the Case of the Middle East International Journal of Telemedicine and Applications. 2014 | Pubmed ID: 24511311 Obesity has become a worldwide epidemic. Qatar, a rapidly developing country in the Middle East, has seen a sharp increase in the prevalence of obesity. The increase can be attributed to several reasons, including sedentary lifestyles imposed by a harsh climate and the introduction of Western fast food. Mobile technologies have been used and studied as a technology to support individuals' weight loss. The authors have developed a mobile application that implements three strategies drawn from proven theories of behavioral change. The application is localized to the cultural context of its proposed users. The objective of this paper is to present a method through which we adapted the messaging content of a weight loss application to the context of its users while retaining an effective degree of automation. The adaptation addressed body image, eating and physical exercise habits, and regional/cultural needs. The paper discusses how surveying potential users can be used to build a profile of a target population, find common patterns, and then develop a database of text messages. The text messages are automated and sent to the users at specific times of day, as suggested by the survey results.
Online Interactive Analysis of Protein Structure Ensembles with Bio3D-web Bioinformatics (Oxford, England). Nov, 2016 | Pubmed ID: 27423893 Bio3D-web is an online application for analyzing the sequence, structure and conformational heterogeneity of protein families. Major functionality is provided for identifying protein structure sets for analysis, their alignment and refined structure superposition, sequence and structure conservation analysis, mapping and clustering of conformations and the quantitative comparison of their predicted structural dynamics.