ReviewMedChemComm2017
High throughput methods to measure the propensity of compounds to form intramolecular hydrogen bonding.
Review in MedChemComm, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- The Role of Hydrogen Bond Donors and Intramolecular Hydrogen Bonding in Modulating Blood-Brain Barrier Permeability: Implications for CNS Drug Design.Molecules (Basel, Switzerland) · 2026Review
- Structure-Antimicrobial Activity Relationships of Recombinant Host Defence Peptides Against Drug-Resistant Bacteria.Microbial biotechnology · 2025Article
- Membrane Permeability in a Large Macrocyclic Peptide Driven by a Saddle-Shaped Conformation.Journal of the American Chemical Society · 2024Article
- Molecular chameleons in drug discovery.Nature reviews. Chemistry · 2024Review
- Oral Absorption of Middle-to-Large Molecules and Its Improvement, with a Focus on New Modality Drugs.Pharmaceutics · 2023Review
- Steering New Drug Discovery Campaigns: Permeability, Solubility, and Physicochemical Properties in the bRo5 Chemical Space.ACS medicinal chemistry letters · 2021Article
- Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies.Journal of cheminformatics · 2019Article
- Assessing Parameter Suitability for the Strength Evaluation of Intramolecular Resonance Assisted Hydrogen Bonding inMolecules (Basel, Switzerland) · 2019Article
- Investigating the Influence of (Deoxy)fluorination on the Lipophilicity of Non-UV-Active Fluorinated Alkanols and Carbohydrates by a New log P Determination Method.Angewandte Chemie (International ed. in English) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Implementation of IMHB considerations in drug discovery needs robust and validated descriptors to experimentally verify the propensity of compounds to exhibit IMHBs. The first part of the paper presents an overview of the most common techniques to measure the propensity of compounds to form IMHBs. Then we review and discuss recently proposed high throughput (HT) physicochemical descriptors (
Identifiers
What OpenQuestion holds
Registered trials
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.