Evidence map›Paper›PMID 27624165›Full record

ArticleJournal of molecular modeling2016

Exploring ligand dissociation pathways from aminopeptidase N using random acceleration molecular dynamics simulation.

Ya Liu, GuoGang Tu, XiaoPing Lai, BinHai Kuang, ShaoHua Li

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Ya LiuDepartment of Medicinal Chemistry, School of Pharmaceutical Science, NanChang University, 461, BaYi Road, NanChang, 330006, People's Republic of China.
GuoGang TuDepartment of Medicinal Chemistry, School of Pharmaceutical Science, NanChang University, 461, BaYi Road, NanChang, 330006, People's Republic of China. tugg199@yahoo.com.
XiaoPing LaiDepartment of Medicinal Chemistry, School of Pharmaceutical Science, NanChang University, 461, BaYi Road, NanChang, 330006, People's Republic of China.
BinHai KuangDepartment of Medicinal Chemistry, School of Pharmaceutical Science, NanChang University, 461, BaYi Road, NanChang, 330006, People's Republic of China.
ShaoHua LiDepartment of Medicinal Chemistry, School of Pharmaceutical Science, NanChang University, 461, BaYi Road, NanChang, 330006, People's Republic of China.
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aminopeptidase N (APN) is a zinc-dependent ectopeptidase involved in cell proliferation, secretion, invasion, and angiogenesis, and is widely recognized as an important cancer target. However, the mechanisms whereby ligands leave the active site of APN remain unknown. Investigating ligand dissociation processes is quite difficult, both in classical simulation methods and in experimental approaches. In this study, random acceleration molecular dynamics (RAMD) simulation was used to investigate the potential dissociation pathways of ligand from APN. The results revealed three pathways (channels A, B and C) for ligand release. Channel A, which matches the hypothetical channel region, was the most preferred region for bestatin to dissociate from the enzyme, and is probably the major channel for the inner bound ligand. In addition, two alternative channels (channels B and C) were shown to be possible pathways for ligand egression. Meanwhile, we identified key residues controlling the dynamic features of APN channels. Identification of the dissociation routes will provide further mechanistic insights into APN, which will benefit the development of more promising APN inhibitors. Graphical Abstract The release pathways of bestatin inside active site of aminopeptidase N were simulated using RAMD simulation.

Indexed as

Binding SitesCatalytic DomainCD13 AntigensHumansLigandsMolecular Dynamics SimulationCD13 AntigensLigandsAminopeptidase NDissociation pathwaysMolecular dynamics

Identifiers

PMID27624165
OpenAlexW2519531508

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.