Evidence map›Paper›PMID 33950214›Full record

ArticleNucleic acids research2021

PLIP 2021: expanding the scope of the protein-ligand interaction profiler to DNA and RNA.

Melissa F Adasme, Katja L Linnemann, Sarah Naomi Bolz, Florian Kaiser, Sebastian Salentin, V Joachim Haupt, Michael Schroeder

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 825 papers.

0numbers the graph read from it
0cells of the map it votes in
825citing papers in PubMed
98.2field-weighted citation impact, top 1% 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

825 citing papers in PubMed, 1,872 citations in OpenAlex.

  1. Article
  2. Probing novel azole-sulfonamide urea/thiourea conjugates as multitarget inhibitors of AChE and hCAs (I and II): synthesis, in vitro, and in silico studies.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
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  18. Discovery of novel anti-RSC advances · 2026
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765 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Melissa F AdasmeBiotechnology Center (BIOTEC), CMCB, Technische Universität Dresden, Tatzberg 47-49, 01307 Dresden, Germany.
Katja L LinnemannBiotechnology Center (BIOTEC), CMCB, Technische Universität Dresden, Tatzberg 47-49, 01307 Dresden, Germany.
Sarah Naomi BolzBiotechnology Center (BIOTEC), CMCB, Technische Universität Dresden, Tatzberg 47-49, 01307 Dresden, Germany.
Florian KaiserPharmAI GmbH, 01307 Dresden, Germany.
Sebastian SalentinBiotechnology Center (BIOTEC), CMCB, Technische Universität Dresden, Tatzberg 47-49, 01307 Dresden, Germany.
V Joachim HauptPharmAI GmbH, 01307 Dresden, Germany.
Michael SchroederBiotechnology Center (BIOTEC), CMCB, Technische Universität Dresden, Tatzberg 47-49, 01307 Dresden, Germany.ORCID 0000-0003-2848-6949
Technische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the growth of protein structure data, the analysis of molecular interactions between ligands and their target molecules is gaining importance. PLIP, the protein-ligand interaction profiler, detects and visualises these interactions and provides data in formats suitable for further processing. PLIP has proven very successful in applications ranging from the characterisation of docking experiments to the assessment of novel ligand-protein complexes. Besides ligand-protein interactions, interactions with DNA and RNA play a vital role in many applications, such as drugs targeting DNA or RNA-binding proteins. To date, over 7% of all 3D structures in the Protein Data Bank include DNA or RNA. Therefore, we extended PLIP to encompass these important molecules. We demonstrate the power of this extension with examples of a cancer drug binding to a DNA target, and an RNA-protein complex central to a neurological disease. PLIP is available online at https://plip-tool.biotec.tu-dresden.de and as open source code. So far, the engine has served over a million queries and the source code has been downloaded several thousand times.

Indexed as

SoftwareAlgorithmsAntineoplastic AgentsDNAGuanosine TriphosphateLigandsNucleic Acid ConformationPhenazinesProtein ConformationResponse ElementsRNARNA-Binding ProteinsRNA Polymerase IIAntineoplastic AgentsDNAGuanosine TriphosphateLigandsPhenazinesRNARNA-Binding ProteinsRNA Polymerase IIXR5944

Identifiers

PMID33950214
PMCPMC8262720
OpenAlexW3159177617

What OpenQuestion 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 OpenQuestion graph.