Evidence map›Paper›PMID 36405310›Full record

ArticleFrontiers in chemistry2022

Combined 3D-QSAR, molecular docking and dynamics simulations studies to model and design TTK inhibitors.

Noureen Ashraf, Asnuzilawati Asari, Numan Yousaf, Matloob Ahmad, Mahmood Ahmed, Amir Faisal, Muhammad Saleem, Muhammad Muddassar

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

8 authors.

Noureen AshrafDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Asnuzilawati AsariFaculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia.
Numan YousafDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Matloob AhmadDepartment of Chemistry, Government College University, Faisalabad, Pakistan.
Mahmood AhmedDepartment of Chemistry, Division of Science and Technology, University of Education, Lahore, Pakistan.
Amir FaisalDepartment of Biology, Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan.
Muhammad SaleemSchool of Biological Sciences, University of the Punjab, Lahore, Pakistan.
Muhammad MuddassarDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tyrosine threonine kinase (TTK) is the key component of the spindle assembly checkpoint (SAC) that ensures correct attachment of chromosomes to the mitotic spindle and thereby their precise segregation into daughter cells by phosphorylating specific substrate proteins. The overexpression of TTK has been associated with various human malignancies, including breast, colorectal and thyroid carcinomas. TTK has been validated as a target for drug development, and several TTK inhibitors have been discovered. In this study, ligand and structure-based alignment as well as various partial charge models were used to perform 3D-QSAR modelling on 1H-Pyrrolo[3,2-c] pyridine core containing reported inhibitors of TTK protein using the comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) approaches to design better active compounds. Different statistical methods i.e., correlation coefficient of non-cross validation (r

Indexed as

3D-QSARMD simulationsMMPBSAmolecular dockingTTK inhibitors

Identifiers

PMID36405310
PMCPMC9666879

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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.