Evidence map›Paper›PMID 31207991›Full record

ArticleMolecules (Basel, Switzerland)2019

Accelerating Drug Discovery by Early Protein Drug Target Prediction Based on a Multi-Fingerprint Similarity Search.

Michele Montaruli, Domenico Alberga, Fulvio Ciriaco, Daniela Trisciuzzi, Anna Rita Tondo, Giuseppe Felice Mangiatordi, Orazio Nicolotti

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Inhibition of SARS-CoV-2 NSP-15 by Uridine-5'-Monophosphate Analogues Using QSAR Modelling, Molecular Dynamics Simulations, and Free Energy Landscape.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  5. Synthesis of Novel Benzo[Molecules (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Turbo prediction: a new approach for bioactivity prediction.Journal of computer-aided molecular design · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
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

7 authors.

Michele MontaruliDipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari "Aldo Moro", via E. Orabona, 4, I-70125 Bari, Italy. michele.montaruli@gmail.com.
Domenico AlbergaCineca, Via Magnanelli 6/3, 40033 Casalecchio di Reno, Bologna, Italy. d.alberga@cineca.it.
Fulvio CiriacoDipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", via E. Orabona, 4, I-70125 Bari, Italy. fulvio.ciriaco@uniba.it.
Daniela TrisciuzziDipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari "Aldo Moro", via E. Orabona, 4, I-70125 Bari, Italy. daniela.trisciuzzi@uniba.it.
Anna Rita TondoIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Via la Masa 19, 20156 Milano, Italy. annarita.tondo@gmail.com.
Giuseppe Felice MangiatordiIstituto di Cristallografia, Consiglio Nazionale delle Ricerche, Via G. Amendola 122/O, 70126 Bari, Italy. giuseppe.mangiatordi@ic.cnr.it.
Orazio NicolottiDipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari "Aldo Moro", via E. Orabona, 4, I-70125 Bari, Italy. orazio.nicolotti@uniba.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this continuing work, we have updated our recently proposed Multi-fingerprint Similarity Search algorithm (MuSSel) by enabling the generation of dominant ionized species at a physiological pH and the exploration of a larger data domain, which included more than half a million high-quality small molecules extracted from the latest release of ChEMBL (version 24.1, at the time of writing). Provided with a high biological assay confidence score, these selected compounds explored up to 2822 protein drug targets. To improve the data accuracy, samples marked as prodrugs or with equivocal biological annotations were not considered. Notably, MuSSel performances were overall improved by using an object-relational database management system based on PostgreSQL. In order to challenge the real effectiveness of MuSSel in predicting relevant therapeutic drug targets, we analyzed a pool of 36 external bioactive compounds published in the Journal of Medicinal Chemistry from October to December 2018. This study demonstrates that the use of highly curated chemical and biological experimental data on one side, and a powerful multi-fingerprint search algorithm on the other, can be of the utmost importance in addressing the fate of newly conceived small molecules, by strongly reducing the attrition of early phases of drug discovery programs.

Indexed as

Drug DiscoveryModels, ChemicalModels, MolecularAlgorithmsKineticsMolecular StructureProteinsQuantitative Structure-Activity RelationshipProteinsdata qualitymolecular similaritymulti-fingerprintprotein drug target prediction

Identifiers

PMID31207991
PMCPMC6631269

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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.