Evidence map›Paper›PMID 38139037›Full record

ArticleInternational journal of molecular sciences2023

Targeting Cathepsin L in Cancer Management: Leveraging Machine Learning, Structure-Based Virtual Screening, and Molecular Dynamics Studies.

Abdulraheem Ali Almalki, Alaa Shafie, Ali Hazazi, Hamsa Jameel Banjer, Maha M Bakhuraysah, Sarah Abdullah Almaghrabi, Ahad Amer Alsaiari, Fouzeyyah Ali Alsaeedi, Amal Adnan Ashour, Afaf Alharthi and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Abdulraheem Ali AlmalkiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.
Alaa ShafieDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0002-7116-3611
Ali HazaziDepartment of Pathology and Laboratory Medicine, Security Forces Hospital Program, Riyadh 11481, Saudi Arabia.
Hamsa Jameel BanjerDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0003-2841-5438
Maha M BakhuraysahDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.
Sarah Abdullah AlmaghrabiDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0002-7449-4651
Ahad Amer AlsaiariDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0003-4117-5811
Fouzeyyah Ali AlsaeediDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.
Amal Adnan AshourDepartment of Oral and Maxillofacial Surgery and Diagnostic Sciences, Faculty of Dentistry, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0003-4579-2921
Afaf AlharthiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0002-4171-9850
Nahed S AlharthiDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.ORCID 0000-0001-5597-5882
Farah AnjumDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0002-8597-6015

Funding

Taif University Deanship of Scientific Research
6 · The paper itself

Abstract

Cathepsin L (CTSL) expression is dysregulated in a variety of cancers. Extensive empirical evidence indicates their direct participation in cancer growth, angiogenic processes, metastatic dissemination, and the development of treatment resistance. Currently, no natural CTSL inhibitors are approved for clinical use. Consequently, the development of novel CTSL inhibition strategies is an urgent necessity. In this study, a combined machine learning (ML) and structure-based virtual screening strategy was employed to identify potential natural CTSL inhibitors. The random forest ML model was trained on IC

Indexed as

Molecular Dynamics SimulationNeoplasmsCathepsin LEarly Detection of CancerHumansLigandsMolecular Docking SimulationCathepsin LLigandscancercathepsin Ldrug-likenessmachine learningnatural compounds

Identifiers

PMID38139037
PMCPMC10743089

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.