Evidence map›Paper›PMID 33300337›Full record

ArticleThe journal of physical chemistry letters2021

Tuning Local Hydration Enables a Deeper Understanding of Protein-Ligand Binding: The PP1-Src Kinase Case.

Andrea Spitaleri, Syeda R Zia, Patrizio Di Micco, Bissan Al-Lazikani, Miguel A Soler, Walter Rocchia

Open access · hybridAbstract read
In one paragraph

Article in The journal of physical chemistry letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 11 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

6 authors at 3 institutions in 3 countries.

Andrea SpitaleriCONCEPT Lab, Istituto Italiano di Tecnologia, via Morego 30, Genoa I-16163, Italy.ORCID http://orcid.org/0000-0003-3012-3557
Syeda R ZiaCONCEPT Lab, Istituto Italiano di Tecnologia, via Morego 30, Genoa I-16163, Italy.
Patrizio Di MiccoCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, U.K.
Bissan Al-LazikaniCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, U.K.
Miguel A SolerCONCEPT Lab, Istituto Italiano di Tecnologia, via Morego 30, Genoa I-16163, Italy.ORCID http://orcid.org/0000-0002-5780-9949
Walter RocchiaCONCEPT Lab, Istituto Italiano di Tecnologia, via Morego 30, Genoa I-16163, Italy.ORCID http://orcid.org/0000-0003-2480-7151
Italian Institute of Technology · ITInstitute of Cancer Research · GBUniversity of Karachi · PK

Funding

Cancer Research UK 23187
6 · The paper itself

Abstract

Water plays a key role in biomolecular recognition and binding. Despite the development of several computational and experimental approaches, it is still challenging to comprehensively characterize water-mediated effects on the binding process. Here, we investigate how water affects the binding of Src kinase to one of its inhibitors, PP1. Src kinase is a target for treating several diseases, including cancer. We use biased molecular dynamics simulations, where the hydration of predetermined regions is tuned at will. This computational technique efficiently accelerates the SRC-PP1 binding simulation and allows us to identify several key and yet unexplored aspects of the solvent's role. This study provides a further perspective on the binding phenomenon, which may advance the current drug design approaches for the development of new kinase inhibitors.

Indexed as

LigandsMolecular Dynamics SimulationProtein BindingProtein ConformationProtein Kinase Inhibitorssrc-Family KinasesThermodynamicsLigandsProtein Kinase Inhibitorssrc-Family Kinases

Identifiers

PMID33300337
PMCPMC7812613
OpenAlexW3112214364

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.