ArticleACS medicinal chemistry letters2018
Decision Making in Medicinal Chemistry: The Power of Our Intuition.
Article in ACS medicinal chemistry letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- EvoDiffMol: evolutionary diffusion framework for 3D molecular design with optimized properties.Journal of cheminformatics · 2026Article
- FOCUS on NOD2: Advancing IBD Drug Discovery with a User-Informed Machine Learning Framework.ACS medicinal chemistry letters · 2024Article
- Molecule auto-correction to facilitate molecular design.Journal of computer-aided molecular design · 2024Article
- Extracting medicinal chemistry intuition via preference machine learning.Nature communications · 2023Article
- To Affinity and Beyond: A Personal Reflection on the Design and Discovery of Drugs.Molecules (Basel, Switzerland) · 2022Review
- On drug discovery against infectious diseases and academic medicinal chemistry contributions.Beilstein journal of organic chemistry · 2022Article
- Improving the odds of success in antitumoral drug development using scoring approaches towards heterocyclic scaffolds.Oncology reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medicinal chemists rely on their intuition to make decisions regarding the course of a medicinal chemistry program. Our ability to accurately and efficiently process large data sets routinely requires that we reduce the volume of information to manageable proportions. This prioritization process, however, can be affected by intuitive biases. One such situation is structure-activity relationship (SAR) analysis in nonadditive data sets in which attempts to intuitively predict the activity of compounds based on preliminary data can lead to erroneous conclusions. Matrix analysis can be a useful tool to accurately determine the nature of the SAR and to improve our decision-making process during an analoging campaign.
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.