Back to search

Article

Proposing New Potential Candidates to Inhibit EGFR via Machine Learning Algorithm

2023-04-18

Abstract excerpt

One of the main issues in solid tumours is progressive mutation in epidermal growth factor receptors (EGFR) gene, which activates signalling pathways that create new blood vessels. In this study, it was attempted to find new a therapeutic candidate to inhibit EGFR. One of the cost-effective alternative methods to find new inhibitors has been the repositioning approach of existing drugs. The critical point of compu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4b9632f7-d7b7-51a1-b025-3806b0c402d5
DOI
10.21203/rs.3.rs-2811853/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Proposing New Potential Candidates to Inhibit EGFR via Machine Learning AlgorithmDOI 10.21203/rs.3.rs-2811853/v1
Select a neighboring publication to make it the new centre.