Evidence map›Paper›PMID 36361669›Full record

ArticleInternational journal of molecular sciences2022

Alvascience: A New Software Suite for the QSAR Workflow Applied to the Blood-Brain Barrier Permeability.

Andrea Mauri, Matteo Bertola

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Bellerophon: An Automated Tool for PROTAC Decomposition.ACS medicinal chemistry letters · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Molecules (Basel, Switzerland) · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

2 authors.

Andrea MauriAlvascience Srl, Via Giuseppe Parini, 35, 23900 Lecco, Italy.ORCID 0000-0002-1966-4347
Matteo BertolaAlvascience Srl, Via Giuseppe Parini, 35, 23900 Lecco, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative structure-activity relationship (QSAR) and quantitative structure-property relationship (QSPR) are established techniques to relate endpoints to molecular features. We present the Alvascience software suite that takes care of the whole QSAR/QSPR workflow necessary to use models to predict endpoints for untested molecules. The first step, data curation, is covered by alvaMolecule. Features such as molecular descriptors and fingerprints are generated by using alvaDesc. Models are built and validated with alvaModel. The models can then be deployed and used on new molecules by using alvaRunner. We use these software tools on a real case scenario to predict the blood-brain barrier (BBB) permeability. The resulting predictive models have accuracy equal or greater than 0.8. The models are bundled in an alvaRunner project available on the Alvascience website.

Indexed as

Blood-Brain BarrierQuantitative Structure-Activity RelationshipPermeabilitySoftwareWorkflowblood–brain barrier permeabilitydata curationmachine learningmodel deploymentmodel validationmolecular descriptorsquantitative structure–activity relationship

Identifiers

PMID36361669
PMCPMC9655980

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.