Databases and online tools that are particularly useful for analysing E. coli transcription

Venkata Sri Krishna Kona; Lekha Arrolla; Deepthi Sri Kanigiri; Azharuddin Mohammed

Kona Venkata Sri Krishna Jawaharlal Nehru Technological University, Hyderabad, TS, India
Arrolla Lekha Sreenidhi Institute of Science and Technology, Hyderabad, TS, India
Kanigiri Deepthi Sri K L University, Vijayawada, AP, India
Mohammed Azharuddin Vignan University, Guntur, AP, India

Abstract

This paper presents general databases and webtools referred and used by the scholars and biomanufacturing research scientists to predict, analyze transcription in e.coli transcription. Over a decade various databases were generated covering biophysical models, promoters performance data, secondary structure of mRNA, polymerases working mode, inhibitors on mRNA, thermodynamics, genetic instability, toxic proteins genes, rate of intiations etc. Based on Artifical Intelligence machine learning webtools turning to be more efficient and reliable to prevalidate performance of the new genes that are expressed in e.coli.

Keywords: biomanufacturing, e.coli transcription, mRNA, thermodynamics, Artificial Intelligence

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