Evidence map›Paper›PMID 26700101›Full record

ArticleMolecular diversity2016

High-throughput screening against ~6.1 million structurally diverse, lead-like compounds to discover novel ROCK inhibitors for cerebral injury recovery.

Haoling Gong, Zhicheng Yuan, Liping Zhan

Abstract read
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Article in Molecular diversity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

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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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Haoling GongDepartment of Nursing, People's Hospital Affiliated to Jiangsu University, Zhenjiang, 212002, China. haolinggong@126.com.
Zhicheng YuanDepartment of Neurosurgery, People's Hospital Affiliated to Jiangsu University, Zhenjiang, 212002, China.
Liping ZhanDepartment of Neurosurgery, People's Hospital Affiliated to Jiangsu University, Zhenjiang, 212002, China.
Jiangsu University · CNAffiliated Hospital of Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rho-associated protein kinase (ROCK) has been recognized as an attractive therapeutic target to promote neurogenesis, neuroregeneration, and neurorecovery after cerebral injury. Here, a high-throughput screening protocol was described to discover novel ROCK inhibitors from a large chemical library containing ~6.1 million structurally diverse, lead-like compounds. The protocol employed empirical rules such as ADMET evaluation and chemical similarity analysis to exclude those of drug-unlike candidates, and then molecular docking and binding affinity predictions were performed to suggest few promising candidates with high scores. Consequently, five compounds were successfully identified to have satisfactory activity profile with IC50 values at nanomolar level. In order to elucidate the molecular mechanism of inhibitor binding to target, the complex structures of ROCK kinase domain with the five identified compounds were modeled and examined in detail. A number of polar chemical forces such as hydrogen bonds and cation-π interactions as well as nonpolar contacts such as π-π stacking and hydrophobic forces were revealed at the complex interface, conferring high affinity and strong specificity to inhibitor binding. In addition, several key residues around the kinase active site, including Val90, Lys105, Asn203, and Phe368, were found to play an important role in binding.

Indexed as

High-Throughput Screening AssaysAnimalsBrain InjuriesCaco-2 CellsCatalytic DomainDogsDrug Evaluation, PreclinicalHumansMadin Darby Canine Kidney CellsMolecular Docking SimulationMolecular Dynamics SimulationProtein Kinase Inhibitorsrho-Associated KinasesProtein Kinase Inhibitorsrho-Associated KinasesBlood-brain barrierCerebral injuryCNSHigh-throughput screeningNeuroregenerationRho-associated protein kinase

Identifiers

PMID26700101
OpenAlexW2198781516

What OpenQuestion holds

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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.