ArticleJournal of chemical information and modeling2021
Finding Druggable Sites in Proteins Using TACTICS.
Article in Journal of chemical information and modeling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
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.
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Who cites it
13 citing papers in PubMed.
- Extracellular matrix and proteolysis: mechanisms driving irreversible changes and shaping cell behavior.The FEBS journal · 2026Review
- SARS-CoV-2 Mpro Dihedral Angles Reveal Allosteric Signaling.Proteins · 2025Article
- Recent computational advances in the identification of cryptic binding sites for drug discovery.Bioinformatics advances · 2025Review
- SARS-CoV-2 3CLPro Dihedral Angles Reveal Allosteric Signaling.bioRxiv : the preprint server for biology · 2024Article
- Targeted Protein Degradation: Advances, Challenges, and Prospects for Computational Methods.Journal of chemical information and modeling · 2023Review
- Construction of Histone-Protein Complex Structures by Peptide Growing.International journal of molecular sciences · 2023Article
- Structure-Based Neural Network Protein-Carbohydrate Interaction Predictions at the Residue Level.bioRxiv : the preprint server for biology · 2023Article
- Structure-based neural network protein-carbohydrate interaction predictions at the residue level.Frontiers in bioinformatics · 2023Article
- Data-driven analysis and druggability assessment methods to accelerate the identification of novel cancer targets.Computational and structural biotechnology journal · 2023Review
- DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targets.Communications biology · 2022Article
- Increased slow dynamics defines ligandability of BTB domains.Nature communications · 2022Article
- Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2.Chemical reviews · 2022Review
- The druggable genome: Twenty years later.Frontiers in bioinformatics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Structure-based drug discovery efforts require knowledge of where drug-binding sites are located on target proteins. To address the challenge of finding druggable sites, we developed a machine-learning algorithm called TACTICS (trajectory-based analysis of conformations to identify cryptic sites), which uses an ensemble of molecular structures (such as molecular dynamics simulation data) as input. First, TACTICS uses
Indexed as
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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.