Implementation of Data Mining Tools to Classify Protein Structural Class from Residue Based Averaged NMR Chemical Shifts-Reference-Cited by-同舟云学术

Implementation of Data Mining Tools to Classify Protein Structural Class from Residue Based Averaged NMR Chemical Shifts

Published:2021-10-08 Issue: Volume: Page:
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Container-title:2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)
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Author:

Kumar S. Saravana¹,Kapila Dhiraj²,Boddu Raja Sarath Kumar³,Sharma Dilip Kumar⁴,Tiwari Mohit⁵,Naved Mohd⁶

Affiliation:

1. Karpagam Academy of Higher Education,Department of CSE,Coimbatore

2. Lovely Professional University,Department of CSE,Phagwara,India

3. Lenora College of Engineering,Department of CSE,Andhra Pradesh,India

4. Jaypee University of Engineering and Technology,Department of Mathematics,Guna,India

5. Bharati Vidyapeeth’s College of Engineering,Delhi

6. Jagannath University,Department of Business Analytics,Delhi-NCR,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9675453/9675477/09675628.pdf?arnumber=9675628

Reference13 articles.

1. PROMOTIF-A program to identify and analyze structural motifs in proteins

2. An Improved Agile Framework For Implementing Data Science Initiatives in the Government

3. SPARTA+: a modest improvement in empirical NMR chemical shift prediction by means of an artificial neural network

4. Design and Implementation of Toolbox Based on Component Technology

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