Evidence map›Paper›PMID 24967388›Full record

ArticleBioMed research international2014

Application of molecular modeling to urokinase inhibitors development.

V B Sulimov, E V Katkova, I V Oferkin, A V Sulimov, A N Romanov, A I Roschin, I B Beloglazova, O S Plekhanova, V A Tkachuk, V A Sadovnichiy

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

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  10. CSAR 2014: A Benchmark Exercise Using Unpublished Data from Pharma.Journal of chemical information and modeling · 2016
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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

10 authors at 2 institutions in 1 country.

V B SulimovResearch Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia ; Dimonta Ltd., Nagornaya Street 15, Building 8, Moscow 117186, Russia.
E V KatkovaResearch Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia ; Dimonta Ltd., Nagornaya Street 15, Building 8, Moscow 117186, Russia.
I V OferkinResearch Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia ; Dimonta Ltd., Nagornaya Street 15, Building 8, Moscow 117186, Russia.
A V SulimovResearch Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia ; Dimonta Ltd., Nagornaya Street 15, Building 8, Moscow 117186, Russia.
A N RomanovResearch Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia.
A I RoschinResearch Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia.
I B BeloglazovaCardiology Research Center of Russian Ministry of Health 3rd Cherepkovskaia, No. 15a, Moscow 121552, Russia.
O S PlekhanovaCardiology Research Center of Russian Ministry of Health 3rd Cherepkovskaia, No. 15a, Moscow 121552, Russia.
V A TkachukCardiology Research Center of Russian Ministry of Health 3rd Cherepkovskaia, No. 15a, Moscow 121552, Russia ; Faculty of Medicine, Lomonosov Moscow State University, Lomonosovskiy Prospect 31, Building 5, Moscow 119192, Russia.
V A SadovnichiyLomonosov Moscow State University, Leninskie Gory 1, Moscow 119991, Russia.
Lomonosov Moscow State University · RUInstitute of Experimental Cardiology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urokinase-type plasminogen activator (uPA) plays an important role in the regulation of diverse physiologic and pathologic processes. Experimental research has shown that elevated uPA expression is associated with cancer progression, metastasis, and shortened survival in patients, whereas suppression of proteolytic activity of uPA leads to evident decrease of metastasis. Therefore, uPA has been considered as a promising molecular target for development of anticancer drugs. The present study sets out to develop the new selective uPA inhibitors using computer-aided structural based drug design methods. Investigation involves the following stages: computer modeling of the protein active site, development and validation of computer molecular modeling methods: docking (SOL program), postprocessing (DISCORE program), direct generalized docking (FLM program), and the application of the quantum chemical calculations (MOPAC package), search of uPA inhibitors among molecules from databases of ready-made compounds to find new uPA inhibitors, and design of new chemical structures and their optimization and experimental examination. On the basis of known uPA inhibitors and modeling results, 18 new compounds have been designed, calculated using programs mentioned above, synthesized, and tested in vitro. Eight of them display inhibitory activity and two of them display activity about 10 μM.

Indexed as

Drug DesignMolecular Docking SimulationSoftwareBlood ProteinsHumansUrokinase-Type Plasminogen ActivatorBlood Proteinsurokinase inhibitorUrokinase-Type Plasminogen Activator

Identifiers

PMID24967388
PMCPMC4055159
OpenAlexW1996164871

What OpenQuestion holds

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LicenceCC BY
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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.