Evidence map›Paper›PMID 33214849›Full record

ArticleACS medicinal chemistry letters2020

Building Admiral, an Automated Molecular Dynamics and Analysis Platform.

Matthew P Baumgartner, Hongzhou Zhang

Open access · greenAbstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2020. 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
–field-weighted citation impact, top 84% 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, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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.

Matthew P BaumgartnerComputational Chemistry and Cheminformatics, Eli Lilly and Company Inc., San Diego, California 92121, United States.
Hongzhou ZhangResearch Information and Digital Solution, Eli Lilly and Company Inc., Indianapolis, Indiana 46285, United States.
Eli Lilly (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present Admiral (Automated Docking and Molecular dynamics InfoRmatics and AnaLysis), a platform which automates the process of running molecular docking and molecular dynamics on compound designs for medicinal chemistry project teams. In addition to running the simulations, Admiral analyzes the simulation and automatically generates a PowerPoint slide, with the goal of having all the information required to decide whether to synthesize the compound in one place. This information includes results and analyses from the MD simulation, predicted ADME and physical-chemical properties, information on similar compounds in the SAR, and an animated GIF of the simulation. This report is then emailed to the compound designer, generally within the same day. Within Eli Lilly and Co., we have developed and deployed Admiral on an internal discovery project where it has been heavily used by the project team. Several additional discovery projects have adopted the platfom in recent months.

Identifiers

PMID33214849
PMCPMC7667822
OpenAlexW3089550441

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.