Evidence map›Paper›PMID 17713798›Full record

ArticleJournal of molecular modeling2007

Theoretical study on binding of S100B protein.

Artur Gieldon, Mattia Mori, Rebecca Del Conte

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors.

Artur GieldonProtera S. r. l., Viale delle Idee, 22, 50019, Sesto Fiorentino, Fi, Italy. gieldon@proterasrl.com
Mattia Mori
Rebecca Del Conte

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

S100B protein is one of the factors involved in the down-regulation of tumor suppressor protein p53, a transcription activator that signals for cycle arrest and apoptosis. As the inactivation of normal p53 functions is found in over half of human cancers, restoration of normal p53 functions through the destruction or prevention of S100B--p53 complexes represents a possible approach for the development of anti-cancer drugs. The aim of this work was to propose the S100B binding interface through an examination of the literature and use of molecular modeling (MM) techniques with AutoDock program and the AMBER force field. We propose two residues in the S100B binding pocket (Val56, Phe76) and two residues on the protein surface (Val52, Ala83) are essential for ligand binding. The data presented here indicate that interactions with these four residues are necessary for a reduction in the incidence of the S100B--p53 complex. Additionally, we have tried to explain a mechanism for the action of pentamidine, the best-known S100B ligand, and have proposed two S100B--pentamidine structures. The results presented here may be useful for the efficient design of new S100B ligands.

Indexed as

ApoptosisBinding SitesCell CycleHumansLigandsModels, MolecularNerve Growth FactorsPentamidinePhenylalanineProtein ConformationS100 Calcium Binding Protein beta SubunitS100 ProteinsTumor Suppressor Protein p53ValineLigandsNerve Growth FactorsPentamidinePhenylalanineS100B protein, humanS100 Calcium Binding Protein beta SubunitS100 ProteinsTumor Suppressor Protein p53Valine

Identifiers

PMID17713798
OpenAlexW1978903687

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.