Evidence map›Paper›PMID 37546775›Full record

ArticlebioRxiv : the preprint server for biology2023

Graph Attention Site Prediction (GrASP): Identifying Druggable Binding Sites Using Graph Neural Networks with Attention.

Zachary Smith, Michael Strobel, Bodhi P Vani, Pratyush Tiwary

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

4 authors.

Zachary SmithInstitute for Physical Science and Technology, University of Maryland, College Park 20742, USA.
Michael StrobelDepartment of Computer Science, University of Maryland, College Park 20742, USA.
Bodhi P VaniInstitute for Physical Science and Technology, University of Maryland, College Park 20742, USA.
Pratyush TiwaryInstitute for Physical Science and Technology, University of Maryland, College Park 20742, USA.

Funding

Supplement to promote diversity: From atoms to mechanisms - Artificial Intelligence augmented molecular simulations for mechanistic ligand design.R35GM142719 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI TIWARY, PRATYUSH · 2021 to 2025
$2.0M
NIGMS NIH HHS R35 GM142719
6 · The paper itself

Abstract

Identifying and discovering druggable protein binding sites is an important early step in computer-aided drug discovery but remains a difficult task where most campaigns rely on

Identifiers

PMID37546775
PMCPMC10402091

What OpenQuestion holds

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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.