ReviewBritish journal of pharmacology2007
Chemogenomic approaches to rational drug design.
Review in British journal of pharmacology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 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
68 citing papers in PubMed.
- Genome-wide pharmacogenomic analysis of response to treatment with antipsychotics.Molecular psychiatry · 2011Trial
- Drug to genome to drug: a computational large-scale chemogenomics screening for novel drug candidates against sporotrichosis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024Article
- Identifying Qingkailing ingredients-dependent mesenchymal-epithelial transition factor-axiation "π" structuring module with angiogenesis and neurogenesis effects.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2024Article
- Comprehensive survey of target prediction web servers for Traditional Chinese Medicine.Heliyon · 2023Review
- Article
- AlphaFold, allosteric, and orthosteric drug discovery: Ways forward.Drug discovery today · 2023Review
- Proteochemometric Modeling Identifies Chemically Diverse Norepinephrine Transporter Inhibitors.Journal of chemical information and modeling · 2023Article
- Drug-target interaction prediction based on protein features, using wrapper feature selection.Scientific reports · 2023Article
- Article
- Current Pharmacotherapy and Multi-Target Approaches for Alzheimer's Disease.Pharmaceuticals (Basel, Switzerland) · 2022Review
- Interpretable and tractable models of transcriptional noise for the rational design of single-molecule quantification experiments.Nature communications · 2022Article
- A review on computer-aided chemogenomics and drug repositioning for rational COVID-19 drug discovery.Chemical biology & drug design · 2022Review
- DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method.Frontiers in genetics · 2022Article
- Development of a chemogenomics library for phenotypic screening.Journal of cheminformatics · 2021Article
- Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review.International journal of molecular sciences · 2021Review
- Mapping drug-target interactions and synergy in multi-molecular therapeutics for pressure-overload cardiac hypertrophy.NPJ systems biology and applications · 2021Article
- Dihydroquinoline derivative as a potential anticancer agent: synthesis, crystal structure, and molecular modeling studies.Molecular diversity · 2021Article
- Machine learning approaches and databases for prediction of drug-target interaction: a survey paper.Briefings in bioinformatics · 2021Review
- A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions.Journal of cheminformatics · 2020Review
- Predicting DNA binding protein-drug interactions based on network similarity.BMC bioinformatics · 2020Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Paradigms in drug design and discovery are changing at a significant pace. Concomitant to the sequencing of over 180 several genomes, the high-throughput miniaturization of chemical synthesis and biological evaluation of a multiple compounds on gene/protein expression and function opens the way to global drug-discovery approaches, no more focused on a single target but on an entire family of related proteins or on a full metabolic pathway. Chemogenomics is this emerging research field aimed at systematically studying the biological effect of a wide array of small molecular-weight ligands on a wide array of macromolecular targets. Since the quantity of existing data (compounds, targets and assays) and of produced information (gene/protein expression levels and binding constants) are too large for manual manipulation, information technologies play a crucial role in planning, analysing and predicting chemogenomic data. The present review will focus on predictive in silico chemogenomic approaches to foster rational drug design and derive information from the simultaneous biological evaluation of multiple compounds on multiple targets. State-of-the-art methods for navigating in either ligand or target space will be presented and concrete drug design applications will be mentioned.
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.