Evidence map›Paper›PMID 38510974›Full record

ArticleComputational and structural biotechnology journal2024

Cyclodextrins: Establishing building blocks for AI-driven drug design by determining affinity constants

Amelia Anderson, Ángel Piñeiro, Rebeca García-Fandiño, Matthew S O'Connor

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Cyclodextrin-based therapeutics delivery systems: A review of current clinical trials.Current research in pharmacology and drug discovery · 2025
    Review
  3. 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

4 authors.

Amelia AndersonCyclarity Therapeutics, 8001 Redwood Blvd, Novato, CA 94945, USA.
Ángel PiñeiroSoft Matter & Molecular Biophysics Group, Department of Applied Physics, Faculty of Physics, University of Santiago de Compostela, Spain.
Rebeca García-FandiñoDepartment of Organic Chemistry, Center for Research in Biological Chemistry and Molecular Materials, Santiago de Compostela University, CIQUS, Spain.
Matthew S O'ConnorCyclarity Therapeutics, 8001 Redwood Blvd, Novato, CA 94945, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclodextrins (CDs) are cyclic carbohydrate polymers that hold significant promise for drug delivery and industrial applications. Their effectiveness depends on their ability to encapsulate target molecules with strong affinity and specificity, but quantifying affinities in these systems accurately is challenging for a variety of reasons. Computational methods represent an exceptional complement to

Indexed as

Affinity constantCyclodextrinInclusion complexMetadynamicsMolecular dynamicsPotential of mean force

Identifiers

PMID38510974
PMCPMC10950811

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.