ReviewCurrent topics in medicinal chemistry2017
Bioinformatics and Drug Discovery.
Review in Current topics in medicinal chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled 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.
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
64 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- 3DICE: interpretable 3D cross-modal learning for drug-target interaction prediction and large-scale drug discovery.Bioinformatics (Oxford, England) · 2026Article
- Article
- Antiviral drug discovery and development: challenges and future directions.Signal transduction and targeted therapy · 2026Review
- A Systematic Review of Drug-Related InteractionsUtilizing Deep Learning and LLMs for Prediction and Mitigation.ACS omega · 2025Review
- Computational Exploration of Bacterial Compounds Targeting Arginine-Specific Mono-Adp-Ribosyl-Transferase 1 (Art1): A Pathway to Novel Therapeutic Anticancer Strategies.Current issues in molecular biology · 2025Article
- Machine learning: Python tools for studying biomolecules and drug design.Molecular diversity · 2025Review
- Unraveling Nature's Pharmacy: Transforming Medicinal Plants into Modern Therapeutic Agents.Pharmaceutics · 2025Review
- Effective treatment for fatty liver of liraglutide via inhibiting endoplasmic reticulum stress, oxidative stress and apoptosis pathways.Archives of medical science : AMS · 2025Article
- Two sides of the same coin: heat shock proteins as biomarkers and therapeutic targets for some complex diseases.Frontiers in molecular biosciences · 2025Review
- Determining the efficacy of phytoconstituents ofIn silico pharmacology · 2025Article
- Article
- Mechanisms to medicines: navigating drug repurposing strategies in Alzheimer's disease.Frontiers in aging neuroscience · 2025Review
- Beyond Tanimoto: a learned bioactivity similarity index enhances ligand discovery.Frontiers in bioinformatics · 2025Article
- Article
- PSO-FeatureFusion: a general framework for fusing heterogeneous features via particle swarm optimization.Bioinformatics advances · 2025Article
- The role and application of bioinformatics techniques and tools in drug discovery.Frontiers in pharmacology · 2025Review
- Snowflake Data Warehouse for Large-Scale and Diverse Biological Data Management and Analysis.Genes · 2024Review
- Exploring the Pharmacological Potential of Carrageenan Disaccharides as Antitumor Agents: An In Silico Approach.Marine drugs · 2024Article
- Harnessing bacterial metabolites for enhanced cancer chemotherapy: unveiling unique therapeutic potentials.Archives of microbiology · 2024Review
4 more citing papers are in PubMed but not listed here.
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
Bioinformatic analysis can not only accelerate drug target identification and drug candidate screening and refinement, but also facilitate characterization of side effects and predict drug resistance. High-throughput data such as genomic, epigenetic, genome architecture, cistromic, transcriptomic, proteomic, and ribosome profiling data have all made significant contribution to mechanismbased drug discovery and drug repurposing. Accumulation of protein and RNA structures, as well as development of homology modeling and protein structure simulation, coupled with large structure databases of small molecules and metabolites, paved the way for more realistic protein-ligand docking experiments and more informative virtual screening. I present the conceptual framework that drives the collection of these high-throughput data, summarize the utility and potential of mining these data in drug discovery, outline a few inherent limitations in data and software mining these data, point out news ways to refine analysis of these diverse types of data, and highlight commonly used software and databases relevant to drug discovery.
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.