Big Data and AI in Natural Product Drug Discovery: Uncovering Hidden Medicinal Chemistry Gems-Reference-Cited by-同舟云学术

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Big Data and AI in Natural Product Drug Discovery: Uncovering Hidden Medicinal Chemistry Gems

Published:2024-04-04 Issue: Volume:14 Page:1-5
ISSN:
Container-title:2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
language:
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Author:

Panigrahi Bhawani Sankar¹,Dogra Akriti²,Sivakumar K.³,Diwakar Shreni⁴,Bagal Yudhishther Singh⁵,Upadhye Mohini⁶

Affiliation:

1. Vardhaman College of Engineering,Department of IT,Hyderabad,Telangana

2. Manav Rachna Dental College,Department of Oral & Maxillofacial Surgery,Faridabad,Haryana

3. Simats School of Engineering, Saveetha University,Department of Mathematics,Chennai,Tamilnadu

4. Government Minimata Girls College,Department of Chemistry,Korba,Chhattisgarh

5. Lovely Professional University,Department of School of Agriculture,Phagwara,Punjab

6. PES Modern College of Pharmacy,Department of Pharmacognosy,Pune,Maharashtra

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10568576/10568577/10568743.pdf?arnumber=10568743

Reference15 articles.

1. Virtual Screening Techniques in Drug Discovery: Review and Recent Applications

2. Analyzing Large-Scale Twitter Real Time Streaming Data with Manifold Machine Learning Algorithms in Apache SPARK

3. Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells

4. Single-Cell Sequencing of the Healthy and Diseased Heart Reveals Cytoskeleton-Associated Protein 4 as a New Modulator of Fibroblasts Activation

5. Brain Tumor Classification Using Deep Neural Network and Transfer Learning

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