ReviewBiochemistry2010
The chemical basis of pharmacology.
Review in Biochemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- Advances in ligand-specific biosensing for structurally similar molecules.Cell systems · 2023Review
- A practical guide to large-scale docking.Nature protocols · 2021Review
- TYROSINE KINASES: COMPLEX MOLECULAR SYSTEMS CHALLENGING COMPUTATIONAL METHODOLOGIES.The European physical journal. B · 2021Article
- Target-Based Evaluation of "Drug-Like" Properties and Ligand Efficiencies.Journal of medicinal chemistry · 2021Article
- Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions.Medicinal research reviews · 2021Review
- Article
- A scientist engineer's contribution to therapeutic discovery and development.Experimental biology and medicine (Maywood, N.J.) · 2018Article
- Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning.Briefings in bioinformatics · 2018Article
- Predicting the Conformational Variability of Abl Tyrosine Kinase using Molecular Dynamics Simulations and Markov State Models.Journal of chemical theory and computation · 2018Article
- A Simple Representation of Three-Dimensional Molecular Structure.Journal of medicinal chemistry · 2017Article
- Detecting similar binding pockets to enable systems polypharmacology.PLoS computational biology · 2017Article
- Epigenetic assays for chemical biology and drug discovery.Clinical epigenetics · 2017Review
- Polypharmacology in Precision Oncology: Current Applications and Future Prospects.Current pharmaceutical design · 2016Review
- Super Natural II--a database of natural products.Nucleic acids research · 2015Article
- Exploring the ligand-protein networks in traditional chinese medicine: current databases, methods and applications.Advances in experimental medicine and biology · 2015Article
- Connecting proteins with drug-like compounds: Open source drug discovery workflows with BindingDB and KNIME.Database : the journal of biological databases and curation · 2015Article
- A chemo-centric view of human health and disease.Nature communications · 2014Article
- Mental health: Drug search on risky path.Nature · 2014Article
- Utility of the Biosynthetic Folate Pathway for Targets in Antimicrobial Discovery.Antibiotics (Basel, Switzerland) · 2014Review
- Why is Research on Herbal Medicinal Products Important and How Can We Improve Its Quality?Journal of traditional and complementary medicine · 2014Article
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
Abstract
Molecular biology now dominates pharmacology so thoroughly that it is difficult to recall that only a generation ago the field was very different. To understand drug action today, we characterize the targets through which they act and new drug leads are discovered on the basis of target structure and function. Until the mid-1980s the information often flowed in reverse: investigators began with organic molecules and sought targets, relating receptors not by sequence or structure but by their ligands. Recently, investigators have returned to this chemical view of biology, bringing to it systematic and quantitative methods of relating targets by their ligands. This has allowed the discovery of new targets for established drugs, suggested the bases for their side effects, and predicted the molecular targets underlying phenotypic screens. The bases for these new methods, some of their successes and liabilities, and new opportunities for their use are described.
Indexed as
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.