 |
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: March 2026
Volume 11 | Issue 3
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 : 11
Issue Published : 118
Article Submitted : 21686
Article Published : 8549
Total Authors : 22487
Total Reviewer : 811
Total Countries : 159
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Drug Discovery Research Paper: Using Machine Learning |
| Authors Name: | Shreyas Sunil bagave , Parth Chetan Bagal , Prathamesh Sachin Nale , Prathamesh Garate |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_203354
|
| Published Paper Id: | IJRTI2505117 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | Alzheimer’s drug discovery was so far constrained to focusing on well-studied therapeutic hypotheses. A more diverse, systems-integrated approach may un cover new therapeutic hypotheses based on the heterogeneity of AD processes and the requirement for understudied protein targets and biological mechanisms. Tar get enabling packages are the development of high quality experimental reagents and informatic outputs and would accelerate the rapid evaluation of new emerging systems-integrated targets in AD. Drug discovery has witnessed dramatic change recently. Many AI/ML technologies have been applied in the recent past. The enhanced nature of these models has led to a growing need for transparency and interpretability. In this paper, we make a review of the XAI approach, which pro vides a novel means to achieve this goal for a more interpretable understanding of machine learning predictions to improve the classification performance of a prob lem by overcoming the limitations of traditional statistical models and conventional machine learning techniques in handling complex molecular datasets. To do this, a dataset of 7298 compounds extracted from the ChEMBL database along with molecular descriptors were used. |
| Keywords: | Alzheimer’s disease, drug development, drug targets |
| Cite Article: | "Drug Discovery Research Paper: Using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.b123-b127, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505117.pdf |
| Downloads: | 000426 |
| 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: IJRTI2505117
Registration ID:203354
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: b123-b127 Country: Kolhapur, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505117 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505117 |
| 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 © 2026 - All Rights Reserved - IJRTI | |||