Evidence map›Paper›PMID 31531194›Full record

ArticleACS medicinal chemistry letters2019

Structure Based Design of Potent Selective Inhibitors of Protein Kinase D1 (PKD1).

Jianwen A Feng, Patrick Lee, Moulay Hicham Alaoui, Kathy Barrett, Georgette Castanedo, Robert Godemann, Paul McEwan, Xiaolu Wang, Ping Wu, Yamin Zhang and 2 more

Open access · greenAbstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2019. 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
0.4field-weighted citation impact, top 38% 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, 6 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

12 authors at 2 institutions in 2 countries.

Jianwen A FengGenentech, 1 DNA way, South San Francisco, California 94080, United States.
Patrick LeeGenentech, 1 DNA way, South San Francisco, California 94080, United States.
Moulay Hicham AlaouiGenentech, 1 DNA way, South San Francisco, California 94080, United States.
Kathy BarrettGenentech, 1 DNA way, South San Francisco, California 94080, United States.
Georgette CastanedoGenentech, 1 DNA way, South San Francisco, California 94080, United States.
Robert GodemannEvotec AG, Manfred Eigen Campus, Essener Bogen, Hamburg, Germany 22419.
Paul McEwanEvotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4Rz, U.K.
Xiaolu WangEvotec AG, Manfred Eigen Campus, Essener Bogen, Hamburg, Germany 22419.
Ping WuGenentech, 1 DNA way, South San Francisco, California 94080, United States.
Yamin ZhangPharmaron Beijing Co., Ltd. 6 Taihe Road, BDA, Beijing, P.R. China, 100176.
Seth F HarrisGenentech, 1 DNA way, South San Francisco, California 94080, United States.
Steven T StabenGenentech, 1 DNA way, South San Francisco, California 94080, United States.
Evotec (Germany) · DEEvotec (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We previously disclosed a series of type I 1/2 inhibitors of NF-κB inducing kinase (NIK). Inhibition of NIK by these compounds was found to be strongly dependent on the inclusion and absolute stereochemistry of a propargyl tertiary alcohol as it forms critical hydrogen bonds (H-bonds) with NIK. We report that inhibition of protein kinase D1 (PKD1) by this class of compounds is not dependent on H-bond interactions of this tertiary alcohol. This feature was leveraged in the design of highly selective inhibitors of PKD1 that no longer inhibit NIK. A structure-based hypothesis based on the position and flexibility of the α-C-helix of PKD1 vs NIK is presented.

Identifiers

PMID31531194
PMCPMC6746091
OpenAlexW2963354415

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.