Evidence map›Paper›PMID 31174295›Full record

ArticleInternational journal of molecular sciences2019

A Practical Perspective: The Effect of Ligand Conformers on the Negative Image-Based Screening.

Mira Ahinko, Sami T Kurkinen, Sanna P Niinivehmas, Olli T Pentikäinen, Pekka A Postila

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Ligand-Enhanced Negative Images Optimized for Docking Rescoring.International journal of molecular sciences · 2022
    Article
  5. Article
  6. Article
  7. Getting Docking into Shape Using Negative Image-Based Rescoring.Journal of chemical information and modeling · 2019
    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

5 authors.

Mira AhinkoDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyvaskyla, P.O. Box 35, FI-40014 Jyvaskyla, Finland. mira.m.k.ahinko@jyu.fi.ORCID 0000-0003-1242-6829
Sami T KurkinenDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyvaskyla, P.O. Box 35, FI-40014 Jyvaskyla, Finland. sami.t.kurkinen@utu.fi.
Sanna P NiinivehmasDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyvaskyla, P.O. Box 35, FI-40014 Jyvaskyla, Finland. sanna.niinivehmas@utu.fi.
Olli T PentikäinenDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyvaskyla, P.O. Box 35, FI-40014 Jyvaskyla, Finland. olli.pentikainen@utu.fi.ORCID 0000-0001-7188-4016
Pekka A PostilaDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyvaskyla, P.O. Box 35, FI-40014 Jyvaskyla, Finland. postila@gmail.com.ORCID 0000-0002-2947-7991

Funding

Academy of Finland 315492Emil Aaltonen Foundation 1Jenny and Antti Wihuri Foundation 1The Finnish IT Center for Science (CSC) jyy2516, jyy2585The Turku University Foundation 1
6 · The paper itself

Abstract

Negative image-based (NIB) screening is a rigid molecular docking methodology that can also be employed in docking rescoring. During the NIB screening, a negative image is generated based on the target protein's ligand-binding cavity by inverting its shape and electrostatics. The resulting NIB model is a drug-like entity or pseudo-ligand that is compared directly against ligand 3D conformers, as is done with a template compound in the ligand-based screening. This cavity-based rigid docking has been demonstrated to work with genuine drug targets in both benchmark testing and drug candidate/lead discovery. Firstly, the study explores in-depth the applicability of different ligand 3D conformer generation software for acquiring the best NIB screening results using cyclooxygenase-2 (COX-2) as the example system. Secondly, the entire NIB workflow from the protein structure preparation, model build-up, and ligand conformer generation to the similarity comparison is performed for COX-2. Accordingly, hands-on instructions are provided on how to employ the NIB methodology from start to finish, both with the rigid docking and docking rescoring using noncommercial software. The practical aspects of the NIB methodology, especially the effect of ligand conformers, are discussed thoroughly, thus, making the methodology accessible for new users.

Indexed as

Binding SitesCyclooxygenase 2Cyclooxygenase 2 InhibitorsDrug DiscoveryHumansMolecular Docking SimulationProtein BindingCyclooxygenase 2Cyclooxygenase 2 Inhibitorscyclooxygenase-2 (COX-2)docking rescoringmolecular dockingnegative image-based (NIB) screeningnegative image-based rescoring (R-NiB)rigid dockingstructure-based drug discoveryvirtual screening

Identifiers

PMID31174295
PMCPMC6600450

What OpenQuestion holds

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LicenceCC BY
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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.