Evidence map›Paper›PMID 36239428›Full record

ArticleJournal of medicinal chemistry2022

Novel Efficient Multistage Lead Optimization Pipeline Experimentally Validated for DYRK1B Selective Inhibitors.

Vadim Alexandrov, Maria Vilenchik, Omar Kantidze, Nika Tsutskiridze, Daviti Kharchilava, Pema Lhewa, Aleksandr Shishkin, Yuriy Gankin, Alexander Kirpich

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medicinal chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

9 authors at 2 institutions in 2 countries.

Vadim AlexandrovLiquid Algo LLC, Hopewell Junction, New York 12533, United States.
Maria VilenchikFelicitex Therapeutics, Natick, Massachusetts 01760, United States.
Omar KantidzeQuantori LLC, Cambridge, Massachusetts 02142, United States.ORCID 0000-0002-7507-7307
Nika TsutskiridzeQuantori LLC, Cambridge, Massachusetts 02142, United States.
Daviti KharchilavaQuantori LLC, Cambridge, Massachusetts 02142, United States.
Pema LhewaDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia 30303, United States.
Aleksandr ShishkinDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia 30303, United States.
Yuriy GankinQuantori LLC, Cambridge, Massachusetts 02142, United States.ORCID 0000-0003-0046-1037
Alexander KirpichDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia 30303, United States.
Georgia State University · USTbilisi State Medical University · GE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to general challenges in drug discovery such as the identification of lead compounds in time- and cost-effective ways, specific challenges also exist. Particularly, it is necessary to develop pharmacological inhibitors that effectively discriminate between closely related molecular targets. DYRK1B kinase is considered a valuable target for cancer-specific mono- or combination chemotherapy; however, the inhibition of its closely related DYRK1A kinase is not beneficial. Existing inhibitors target both kinases with essentially the same efficiency, and the unavailability of the DYRK1B crystal structure makes the discovery of DYRK1B-specific inhibitors even more challenging. Here, we propose a novel multi-stage compound discovery pipeline aimed at

Indexed as

Protein Kinase InhibitorsProtein-Tyrosine KinasesLigandsProtein Serine-Threonine KinasesQuantitative Structure-Activity RelationshipLigandsProtein Kinase InhibitorsProtein Serine-Threonine KinasesProtein-Tyrosine Kinases

Identifiers

PMID36239428
PMCPMC9619999
OpenAlexW4306174760

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.