Evidence map›Paper›PMID 32829478›Full record

ArticleJournal of molecular modeling2020

Design of novel ROCK inhibitors using fragment-based de novo drug design approach.

Hemant Arya, Mohane Selvaraj Coumar

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

2 authors at 1 institution in 1 country.

Hemant AryaCentre for Bioinformatics, School of Life Sciences, Pondicherry University, Kalapet, Puducherry, 605014, India.
Mohane Selvaraj CoumarCentre for Bioinformatics, School of Life Sciences, Pondicherry University, Kalapet, Puducherry, 605014, India. mohane@bicpu.edu.in.ORCID http://orcid.org/0000-0002-0505-568X
Pondicherry University · IN

Funding

Department of Biotechnology , Ministry of Science and Technology DBT's Twining programme for North East - BT/246/NE/TBP/2011/77University Grants Commission F1-17.1/2012-13/RGNF-2012-13-SC-RAJ-29230
6 · The paper itself

Abstract

Rho-associated coiled-coil protein kinase (ROCK) is playing a vital role in the regulation of key cellular events and also responsible for causing several pathological conditions such as cancer, hypertension, Alzheimer's, cerebral vasospasm, and cardiac stroke. Therefore, it has attracted us to target ROCK protein as a potential therapeutic target for combating various diseases. Consequently, we investigated the active site of ROCK I protein and designed novel leads against the target using the de novo evolution drug design approach. Caffeic acid (an aglycone of acteoside) as a scaffold and fragments from 336 reported ROCK inhibitors were used for the design of novel leads. Multiple copy simultaneous search docking was used to identify the suitable fragments to be linked with the scaffold. Basic medicinal chemistry rules, coupled with structural insights generated by docking, led to the design of 7a, 8a, 9a, and 10a as potential ROCK I inhibitors. The designed leads showed better binding than the approved drug fasudil and also interacted with the key hinge region residue Met156 of ROCK I. Further, molecular dynamics (MD) simulation revealed that the protein-ligand complexes were stable and maintained the hydrogen bond with Met156 throughout the MD run. The promising in silico outcomes suggest that the designed compounds could be suitable anti-cancer leads that need to be synthesized and tested in various cancer cell lines. Graphical abstract.

Indexed as

Drug DesignMolecular Docking SimulationMolecular Dynamics SimulationBinding SitesDensity Functional TheoryHumansLigandsMolecular ConformationMolecular StructureProtein BindingProtein Kinase Inhibitorsrho-Associated KinasesSmall Molecule LibrariesLigandsProtein Kinase Inhibitorsrho-Associated KinasesROCK1 protein, humanSmall Molecule LibrariesCaffeic acidDe novo drug designLudi algorithmMCSS dockingMolecular dynamicsROCK inhibitor

Identifiers

PMID32829478
OpenAlexW3080790897

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.