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Hire Dr. Richa T.

United Arab Emirates

USD 60 /hr

Profile Summary

I am a bioinformatics researcher. Specifically, I have worked on projects involving protein structure/function analysis, algorithm development, machine learning, phylogeny and genome analysis. So far, I have published 14 research papers in various international journals. Overall, I enjoy analyzing and drawing meaningful conclusions from a diverse set of data and, writing them in order to make them available to researchers all around the world.

Subject Matter Expertise

• ☆ Biochemistry
• ☆ Structural Biology
• ☆ Software Engineering
• ☆ Algorithm Design
• ☆ Machine Learning
• ☆ Bioinformatics
• ☆ Protein/Enzyme Engineering
• ☆ Technical & Scientific Writing

Services

• Writing
• Data & AI

Work Experience

Postdoctoral Researcher

Mohammed Bin Rashid University of Medicine and Health Sciences

December 2019 - Present

JSPS Postdoctoral Fellow

Tokyo University of Agriculture and Technology

June 2015 - May 2017

Education

Ph.D. (School of Chemical and Biotechnology)

SASTRA University

August 2009 - December 2014

M.Sc (Bioinformatics)

Banasthali University

2007 - 2009

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

(2019). Large-scale all-atom molecular dynamics alanine-scanning of IAPP octapeptides provides insights into the molecular determinants of amyloidogenicity . Scientific Reports.

(2019). Large expert-curated database for benchmarking document similarity detection in biomedical literature search . Database.

(2019). Augmenting Flexnerism Via Twitterism: Need for Integrating Social Media Application in Blueprinting Pedagogical Strategies for Undergraduate Medical Education . JMIR Medical Education.

(2018). Blending Gagne’s Instructional Model with Peyton’s Approach to Design an Introductory Bioinformatics Lesson Plan for Medical Students: Proof-of-Concept Study . JMIR Medical Education.

Wankhede, D.P., Kumari, M., Richa, T., Aravind, J., Rajkumar, S.(2017). Genome wide identification and characterization of Calcium Dependent Protein Kinase gene family in Cajanus cajan . Journal of Environmental Biology. 38. (1). p. 167-177.

Richa, T., Ide, S., Suzuki, R., Ebina, T., Kuroda, Y.(2017). Fast H-DROP: A thirty times accelerated version of H-DROP for interactive SVM-based prediction of helical domain linkers . Journal of Computer-Aided Molecular Design. 31. (2). p. 237-244.

Prabhavadhni, A., Richa, T., Sivaraman, T.(2015). A review on computational methods for predicting residue-specific stabilities of proteins . Journal of Pharmaceutical Sciences and Research. 7. (3). p. 159-162.

Richa, T., Sivaraman, T.(2015). Computational analyses of cryptic intermediates in the native unfolding pathways of barnase and thioredoxin . Biologia (Poland). 70. (4). p. 420-427.

Richa, T., Sivaraman, T.(2014). Cooperative unfolding units and metastable states of cytochrome c551 from Pseudomonas aeruginosa under native conditions . Journal of Pharmaceutical Sciences and Research. 6. (3). p. 144-147.

Das, P., Richa, T., Sivaraman, T.(2014). A computational strategy for predicting residue-specific stabilities of cardiotoxin III, an all β-sheet protein . Research Journal of Pharmaceutical, Biological and Chemical Sciences. 5. (3). p. 1824-1831.

Richa, T., Sivaraman, T.(2014). OneG-Vali: A computational tool for detecting, estimating and validating cryptic intermediates of proteins under native conditions . RSC Advances. 4. (68). p. 36325-36335.

Richa, T., Sivaraman, T.(2013). Structural stability and folding pathways of proteins under native conditions as monitored by hydrogen/deuterium (H/D) exchange methods . International Journal of Research in Pharmaceutical Sciences. 4. (4). p. 550-562.

Richa, T., Sivaraman, T.(2012). CIntX: A software tool for calculating the intrinsic exchange rates of labile protons in proteins . Journal of Pharmaceutical Sciences and Research. 4. (6). p. 1852-1858.

Sivakumar, D., Richa, T., Rajesh, S.S., Gorai, B., Sivaraman, T.(2012). In silico methods for designing antagonists to anti-apoptotic members of Bcl-2 family proteins . Mini-Reviews in Medicinal Chemistry. 12. (11). p. 1144-1153.

Richa, T., Sivaraman, T.(2012). OneG: A computational tool for predicting cryptic intermediates in the unfolding kinetics of proteins under native conditions . PLoS ONE. 7. (3).

Richa, T., Sivaraman, T.(2011). META: A computational tool for predicting metastable states in the folding pathways of proteins . Journal of Pharmaceutical Sciences and Research. 3. (9). p. 1486-1490.

Rao, K.P., Richa, T., Kumar, K., Raghuram, B., Sinha, A.K.(2010). In silico analysis reveals 75 members of Mitogen-Activated protein Kinase Kinase Kinase gene family in rice . DNA Research. 17. (3). p. 139-153.