Evidence map›Paper›PMID 37017513›Full record

ReviewJournal of medicinal chemistry2023

Macrocycles in Drug Discovery─Learning from the Past for the Future.

Diego Garcia Jimenez, Vasanthanathan Poongavanam, Jan Kihlberg

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of medicinal chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed
59.1field-weighted citation impact, top 1% of its field
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

121 citing papers in PubMed, 244 citations in OpenAlex.

  1. Article
  2. Total Synthesis of Xentrivalpeptide A and Its 6α-Molecules (Basel, Switzerland) · 2026
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61 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 2 countries.

Diego Garcia JimenezDepartment of Chemistry-BMC, Uppsala University, Box 576, SE-751 23 Uppsala, Sweden.ORCID 0000-0002-7247-1480
Vasanthanathan PoongavanamDepartment of Chemistry-BMC, Uppsala University, Box 576, SE-751 23 Uppsala, Sweden.ORCID 0000-0002-8880-9247
Jan KihlbergDepartment of Chemistry-BMC, Uppsala University, Box 576, SE-751 23 Uppsala, Sweden.ORCID 0000-0002-4205-6040
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have analyzed FDA-approved macrocyclic drugs, clinical candidates, and the recent literature to understand how macrocycles are used in drug discovery. Current drugs are mainly used in infectious disease and oncology, while oncology is the major indication for the clinical candidates and in the literature Most macrocyclic drugs bind to targets that have difficult to drug binding sites. Natural products have provided 80-90% of the drugs and clinical candidates, whereas macrocycles in ChEMBL have less complex structures. Macrocycles usually reside in the beyond the Rule of 5 chemical space, but 30-40% of the drugs and clinical candidates are orally bioavailable. Simple bi-descriptor models, i.e., HBD ≤ 7 in combination with either MW < 1000 Da or cLogP > 2.5, distinguished orals from parenterals and can be used as filters in design. We propose that recent breakthroughs in conformational analysis and inspiration from natural products will further improve the de novo design of macrocycles.

Indexed as

Biological ProductsMacrocyclic CompoundsDrug DiscoveryMolecular ConformationBiological ProductsMacrocyclic Compounds

Identifiers

PMID37017513
PMCPMC10150360
OpenAlexW4362601182

What Socratic 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 Socratic graph.