S
Srinivasan Ramachandran
Researcher at Council of Scientific and Industrial Research
Publications - 36
Citations - 1862
Srinivasan Ramachandran is an academic researcher from Council of Scientific and Industrial Research. The author has contributed to research in topics: Strongyloides stercoralis & Bacterial adhesin. The author has an hindex of 22, co-authored 36 publications receiving 1645 citations. Previous affiliations of Srinivasan Ramachandran include Jawaharlal Nehru University & Academy of Scientific and Innovative Research.
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Prediction of probable genes by Fourier analysis of genomic sequences
Shrish Tiwari,Srinivasan Ramachandran,Alok Bhattacharya,Sudha Bhattacharya,Ramakrishna Ramaswamy +4 more
TL;DR: The aim is to use Fourier techniques to analyse this periodicity, and thereby to develop a tool to recognize coding regions in genomic DNA, and find that the relative-height of the peak at f = 1/3 in the Fourier spectrum is a good discriminator of coding potential.
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SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks
TL;DR: SPAAN, which predicts the probability of a protein being an adhesin (Pad) and could identify 97.4% of known adhesins at high Pad value from a wide range of bacteria, offers new lead for rapid experimental testing.
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Proteogenomic Analysis of Mycobacterium tuberculosis By High Resolution Mass Spectrometry
Dhanashree S. Kelkar,Dhirendra Kumar,Praveen Kumar,Lavanya Balakrishnan,Babylakshmi Muthusamy,Amit Kumar Yadav,Priyanka Shrivastava,Arivusudar Marimuthu,S. Anand,Hema Sundaram,Reena Kingsbury,H. C. Harsha,Bipin G. Nair,T. S. Keshava Prasad,T. S. Keshava Prasad,Devendra Singh Chauhan,Kiran Katoch,Vishwa Mohan Katoch,P. Kumar,Raghothama Chaerkady,Srinivasan Ramachandran,Debasis Dash,Akhilesh Pandey +22 more
TL;DR: An in-depth proteogenomic analysis of the M. tuberculosis H37Rv strain using Fourier transform mass spectrometry with high resolution at both MS and tandem MS levels identified 3176 proteins from Mycobacterium tuberculosis representing ∼80% of its total predicted gene count.
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Computer-aided biotechnology: from immuno-informatics to reverse vaccinology
Sandro Vivona,Jennifer L. Gardy,Srinivasan Ramachandran,Fiona S. L. Brinkman,Gajendra P. S. Raghava,Darren R. Flower,Francesco Filippini +6 more
TL;DR: This work describes a move to 'computer-aided biotechnology': smart projects in which time-consuming and expensive large-scale experimental approaches are progressively replaced by prediction-driven investigations.
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Characterization of a recombinant immunodiagnostic antigen (NIE) from Strongyloides stercoralis L3-stage larvae☆
Varatharajalu Ravi,Srinivasan Ramachandran,Robert W. Thompson,John F. Andersen,Franklin A. Neva +4 more
TL;DR: This application of the NIE antigen was supported by its capacity to trigger release of histamine upon in vitro exposure to blood from strongyloides-infected patients and its failure to produce histamine release from blood of normal controls.