ArticleNPJ systems biology and applications2018
Large-scale computational drug repositioning to find treatments for rare diseases.
Article in NPJ systems biology and applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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
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Who cites it
17 citing papers in PubMed, 42 citations in OpenAlex.
- Advancing the frontier of rare disease modeling: a critical appraisal of in silico technologies.NPJ digital medicine · 2025Review
- Prediction of drug's anatomical therapeutic chemical (ATC) code by constructing biological profiles of ATC codes.BMC bioinformatics · 2025Article
- Potential of Artificial Intelligence to Accelerate Drug Development for Rare Diseases.Pharmaceutical medicine · 2024Article
- Article
- GraphSite: Ligand Binding Site Classification with Deep Graph Learning.Biomolecules · 2022Article
- Evaluating the performance of drug-repurposing technologies.Drug discovery today · 2022Review
- A chronicle review of new techniques that facilitate the understanding and development of optimal individualized therapeutic strategies for chordoma.Frontiers in oncology · 2022Review
- Suppression of LPS-Induced Inflammation and Cell Migration by Azelastine through Inhibition of JNK/NF-κB Pathway in BV2 Microglial Cells.International journal of molecular sciences · 2021Article
- A computational multi-targeting approach for drug repositioning for psoriasis treatment.BMC complementary medicine and therapies · 2021Article
- Computational Drug Repositioning Identifies Potentially Active Therapies for Chordoma.Neurosurgery · 2021Article
- Cestode strobilation: prediction of developmental genes and pathways.BMC genomics · 2020Article
- Drug Repositioning for Noonan and LEOPARD Syndromes by Integrating Transcriptomics With a Structure-Based Approach.Frontiers in pharmacology · 2020Article
- Binding site matching in rational drug design: algorithms and applications.Briefings in bioinformatics · 2019Review
- A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome.Nature communications · 2019Article
- DeepDrug3D: Classification of ligand-binding pockets in proteins with a convolutional neural network.PLoS computational biology · 2019Article
- eModel-BDB: a database of comparative structure models of drug-target interactions from the Binding Database.GigaScience · 2018Article
- Comparative assessment of strategies to identify similar ligand-binding pockets in proteins.BMC bioinformatics · 2018Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Rare, or orphan, diseases are conditions afflicting a small subset of people in a population. Although these disorders collectively pose significant health care problems, drug companies require government incentives to develop drugs for rare diseases due to extremely limited individual markets. Computer-aided drug repositioning, i.e., finding new indications for existing drugs, is a cheaper and faster alternative to traditional drug discovery offering a promising venue for orphan drug research. Structure-based matching of drug-binding pockets is among the most promising computational techniques to inform drug repositioning. In order to find new targets for known drugs ultimately leading to drug repositioning, we recently developed
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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.