Evidence map›Paper›PMID 26950111›Full record

ArticleMolecules (Basel, Switzerland)2016

Chemoinformatics in the New Era: From Molecular Dynamics to Systems Dynamics.

Guanyu Wang

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Special Issue: Chemoinformatics.Molecules (Basel, Switzerland) · 2016
    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

1 author.

Guanyu WangDepartment of Biology, South University of Science and Technology of China, 1088 Xueyuan Rd., Shenzhen 518055, China. wanggy@sustc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemoinformatics, due to its power in gathering information at the molecular level, has a wide array of important applications to biology, including fundamental biochemical studies and drug discovery and optimization. As modern "omics" based profiling and network based modeling and simulation techniques grow in sophistication, chemoinformatics now faces a great opportunity to include systems-level control mechanisms as one of its pillar components to extend and refine its various applications. This viewpoint article, through the example of computer aided targeting of the PI3K/Akt/mTOR pathway, outlines major steps of integrating systems dynamics simulations into molecular dynamics simulations to facilitate a higher level of chemoinformatics that would revolutionize drug lead optimization, personalized therapy, and possibly other applications.

Indexed as

Drug DesignMolecular Dynamics SimulationPhosphoinositide-3 Kinase InhibitorsComputational BiologyDrug DiscoveryGene ExpressionHumansPhosphatidylinositol 3-KinasesPrecision MedicineProtein Kinase InhibitorsProto-Oncogene Proteins c-aktQuantitative Structure-Activity RelationshipSmall Molecule LibrariesTOR Serine-Threonine KinasesUser-Computer InterfaceMTOR protein, humanPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProtein Kinase InhibitorsProto-Oncogene Proteins c-aktSmall Molecule LibrariesTOR Serine-Threonine Kinaseschemoinformaticsdrug lead optimizationmolecular dynamics simulationsystems dynamics simulation

Identifiers

PMID26950111
PMCPMC6273631

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.