Evidence map›Paper›PMID 32511289›Full record

ArticleChemRxiv : the preprint server for chemistry2020

An online repository of solvation thermodynamic and structural maps of SARS-CoV-2 targets.

Brian Olson, Anthony Cruz, Lieyang Chen, Mossa Ghattas, Yeonji Ji, Kunhui Huang, Daniel J McKay, Tom Kurtzman

Abstract readPreprint
In one paragraph

Article in ChemRxiv : the preprint server for chemistry, 2020. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Brian OlsonPh.D. Program in Biochemistry, The Graduate Center of the City University of New York, 365 5th Avenue, New York New York, United States of America, 10016.
Anthony CruzLehman College Department of Chemistry, 205 W Bedford Park Blvd Bronx, NY, United States of America, 10468.
Lieyang ChenLehman College Department of Chemistry, 205 W Bedford Park Blvd Bronx, NY, United States of America, 10468.
Mossa GhattasLehman College Department of Chemistry, 205 W Bedford Park Blvd Bronx, NY, United States of America, 10468.
Yeonji JiLehman College Department of Chemistry, 205 W Bedford Park Blvd Bronx, NY, United States of America, 10468.
Kunhui HuangLehman College Department of Chemistry, 205 W Bedford Park Blvd Bronx, NY, United States of America, 10468.
Daniel J McKayVentus Therapeutics, 7150 Frederick-Banting Montreal, Quebec H9S 2A1.
Tom KurtzmanLehman College Department of Chemistry, 205 W Bedford Park Blvd Bronx, NY, United States of America, 10468.

Funding

Accounting for Water Structure and Thermodynamics in Computer-Aided Drug DesignR01GM100946 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KURTZMAN, THOMAS PHILIP · 2013 to 2021
$2.7M
NIGMS NIH HHS R01 GM100946
6 · The paper itself

Abstract

SARS-CoV-2 recently jumped species and rapidly spread via human-to-human transmission to cause a global outbreak of COVID-19. The lack of effective vaccine combined with the severity of the disease necessitates attempts to develop small molecule drugs to combat the virus. COVID19_GIST_HSA is a freely available online repository to provide solvation thermodynamic maps of COVID-19-related protein small molecule drug targets. Grid Inhomogeneous Solvation Theory maps were generated using AmberTools cpptraj-GIST and Hydration Site Analysis maps were created using SSTmap code. The resultant data can be applied to drug design efforts: scoring solvent displacement for docking, rational lead modification, prioritization of ligand- and protein- based pharmacophore elements, and creation of water-based pharmacophores. Herein, we demonstrate the use of the solvation thermodynamic mapping data. It is hoped that this freely provided data will aid in small molecule drug discovery efforts to defeat SARS-CoV-2.

Indexed as

CADDCOVID-19DockingDrug DesignDrug DiscoveryLead Drug DesignMain ProteaseRational Lead ModificationSARS-CoV2Solvation ThermodynamicsVirtual Screening

Identifiers

PMID32511289
PMCPMC7263766

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.