 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Unleashing the Power of AI in Natural Product Discovery |
| Authors Name: | Khatri shifa , Dr. Swati Patil |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_190140
|
| Published Paper Id: | IJRTI2504191 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Artificial Intelligence (AI) is reshaping natural product drug discovery, offering a transformative approach to an historically intricate process. Divided into machine learning and deep learning, AI accelerates the identification of therapeutic compounds from diverse natural sources. While machine learning employs algorithms like SVM, RF, and Bayesian Networks, deep learning, using neural networks, excels in image and sequence analysis. Traditional natural product discovery involves a multistep process, facing challenges such as biodiversity loss, complex structures, and resource-intensive procedures. AI addresses these challenges by optimizing processes, enhancing reproducibility, and accelerating advancements in the field. Despite challenges like limited datasets and ethical considerations, AI in natural product discovery is applied for virtual screening, predicting pharmacokinetics, toxicity forecasting, ensuring quality control, overcoming resource constraints, and integrating multi-omics data. The future of AI in natural product discovery holds promise with advancements in predictive modeling, generative models, knowledge graphs, explainable AI, automation, personalized medicine, and collaborative data sharing. Ethical considerations emphasize equitable data ownership, bias mitigation, traditional knowledge respect, transparency, privacy protection, and collaborative, culturally sensitive approaches. In conclusion, the vast potential of AI in natural product drug discovery positions it to become a mainstream force in the future, promising transformative advancements for the development of novel therapeutics. |
| Keywords: | Artificial Intelligence, machine learning, deep learning, network, natural product, drug discovery |
| Cite Article: | "Unleashing the Power of AI in Natural Product Discovery", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b722-b733, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504191.pdf |
| Downloads: | 000437 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2504191
Registration ID:190140
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b722-b733 Country: Mumbai, Maharashtra, India Research Area: Pharmacy Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504191 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504191 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||