Evidence map›Paper›PMID 33871478›Full record

ArticleIBM journal of research and development

The Pharmit Backend: A Computer Systems Approach to Enabling Interactive Online Drug Discovery.

David Ryan Koes

Abstract read
In one paragraph

Article in IBM journal of research and development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  17. Proposition ofCombinatorial chemistry & high throughput screening · 2024
    Review
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

1 author.

David Ryan KoesUniversity of Pittsburgh, Pittsburgh, PA 15260, USA.

Funding

Methods, Tools and Resources for Interactive Online Virtual Screening and Lead OptimizationR01GM108340 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOES, DAVID RYAN · 2013 to 2020
$1.8M
NIGMS NIH HHS R01 GM108340
6 · The paper itself

Abstract

Pharmit (http://pharmit.csb.pitt.edu) is an open-source online resource that allows users to interactively search libraries of millions compounds as part of a structure-based drug discovery workflow. Here we describe the systems-level implementation decisions made in designing Pharmit that, when combined with novel sub-linear time search algorithms, allow it to screen millions of molecules in seconds. The key concepts are to maximize parallelism while minimizing intra-thread communication, optimize data layout for sequential processing, and efficiently manage memory allocation. We describe how these concepts are applied to the cheminformatic data inherent to Pharmit and discuss limitations and possible future directions.

Identifiers

PMID33871478
PMCPMC8049614

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.