ArticleNucleic acids research2006
TarFisDock: a web server for identifying drug targets with docking approach.
Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 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
126 citing papers in PubMed, 418 citations in OpenAlex.
- Beyond the flat screen: evaluating virtual reality as a complementary tool for molecular docking in drug discovery.Journal of computer-aided molecular design · 2026Review
- Reviewing the Computational Landscape of Drug Repurposing: Evolution from Structure-Based Methods to LLM-Based Methods.Biomolecules · 2026Review
- Review
- ComTarget: Small-Molecule Target Prediction with Combinatorial Modeling.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Repositioning Drugs: A Computational Approach.Current drug research reviews · 2026Review
- AutoRevDock: An open-source toolkit for scalable reverse docking.Protein science : a publication of the Protein Society · 2025Article
- A survey on deep learning for drug-target binding prediction: models, benchmarks, evaluation, and case studies.Briefings in bioinformatics · 2025Review
- GS-DTI: a graph-structure-aware framework leveraging large language models for drug-target interaction prediction.Bioinformatics (Oxford, England) · 2025Article
- MAI-TargetFisher: A proteome-wide drug target prediction method synergetically enhanced by artificial intelligence and physical modeling.Acta pharmacologica Sinica · 2025Article
- Antibody design using deep learning: from sequence and structure design to affinity maturation.Briefings in bioinformatics · 2024Review
- Dual-channel hypergraph convolutional network for predicting herb-disease associations.Briefings in bioinformatics · 2024Article
- Cobdock: an accurate and practical machine learning-based consensus blind docking method.Journal of cheminformatics · 2024Article
- Comprehensive survey of target prediction web servers for Traditional Chinese Medicine.Heliyon · 2023Review
- VGAEDTI: drug-target interaction prediction based on variational inference and graph autoencoder.BMC bioinformatics · 2023Article
- Activity Models of Key GPCR Families in the Central Nervous System: A Tool for Many Purposes.Journal of chemical information and modeling · 2023Article
- Expanding potential targets of herbal chemicals by node2vec based on herb-drug interactions.Chinese medicine · 2023Article
- In-silico target prediction by ensemble chemogenomic model based on multi-scale information of chemical structures and protein sequences.Journal of cheminformatics · 2023Article
- SSELM-neg: spherical search-based extreme learning machine for drug-target interaction prediction.BMC bioinformatics · 2023Article
- Identifying potential drug-target interactions based on ensemble deep learning.Frontiers in aging neuroscience · 2023Article
- ReverseDock: a web server for blind docking of a single ligand to multiple protein targets using AutoDock Vina.Frontiers in molecular biosciences · 2023Article
66 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
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
TarFisDock is a web-based tool for automating the procedure of searching for small molecule-protein interactions over a large repertoire of protein structures. It offers PDTD (potential drug target database), a target database containing 698 protein structures covering 15 therapeutic areas and a reverse ligand-protein docking program. In contrast to conventional ligand-protein docking, reverse ligand-protein docking aims to seek potential protein targets by screening an appropriate protein database. The input file of this web server is the small molecule to be tested, in standard mol2 format; TarFisDock then searches for possible binding proteins for the given small molecule by use of a docking approach. The ligand-protein interaction energy terms of the program DOCK are adopted for ranking the proteins. To test the reliability of the TarFisDock server, we searched the PDTD for putative binding proteins for vitamin E and 4H-tamoxifen. The top 2 and 10% candidates of vitamin E binding proteins identified by TarFisDock respectively cover 30 and 50% of reported targets verified or implicated by experiments; and 30 and 50% of experimentally confirmed targets for 4H-tamoxifen appear amongst the top 2 and 5% of the TarFisDock predicted candidates, respectively. Therefore, TarFisDock may be a useful tool for target identification, mechanism study of old drugs and probes discovered from natural products. TarFisDock and PDTD are available at http://www.dddc.ac.cn/tarfisdock/.
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.