scispace - formally typeset
S

Srivathsan V. Ranganathan

Researcher at State University of New York System

Publications -  31
Citations -  1138

Srivathsan V. Ranganathan is an academic researcher from State University of New York System. The author has contributed to research in topics: Base pair & RNA. The author has an hindex of 10, co-authored 25 publications receiving 902 citations. Previous affiliations of Srivathsan V. Ranganathan include University at Albany, SUNY & Anna University.

Papers
More filters
Journal ArticleDOI

An overview of enzymatic production of biodiesel.

TL;DR: The use of tert-butanol as solvent, continuous removal of glycerol, stepwise addition of methanol, and continual removal of Glycerol are found to reduce the inhibitory effects thereby increasing the cost effectiveness of the enzymatic process.
Journal ArticleDOI

Celebrating wobble decoding: Half a century and still much is new.

TL;DR: The post-transcriptional modifications of tRNA's anticodon domain are the most diverse and chemically complex of any RNA modifications and reveal individual and combined effects on tRNA function in recognition of cognate and wobble codons.
Journal ArticleDOI

Modification of messenger RNA by 2'-O-methylation regulates gene expression in vivo.

TL;DR: These findings support a model in which snoRNA-guided Nm modifications of mRNA can regulate physiologic gene expression by altering mRNA levels and tuning protein translation, and show that 2′-O-methylation mediated by box C/D snoRNAs and fibrillarin can inhibit the translation of target mRNAs.
Journal ArticleDOI

Complex Thermodynamic Behavior of Single-Stranded Nucleic Acid Adsorption to Graphene Surfaces

TL;DR: This work directly measured the binding of nucleosides and oligonucleotides to graphene oxide nanoparticles using isothermal titration calorimetry and used the results to develop molecular models of graphene-nucleic acid interactions, which are calibrated to quantitatively reproduce the experimental results.
Journal ArticleDOI

Advances in RNA molecular dynamics: a simulator's guide to RNA force fields

TL;DR: Armed with a better understanding of what goes inside the simulation ‘black box,’ RNA biochemists can devise novel experiments and provide crucial thermodynamic and structural data that will guide the development and testing of improved RNA models.