ArticleACS omega2017
Identification of a Novel Class of BRD4 Inhibitors by Computational Screening and Binding Simulations.
Article in ACS omega, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- A Minireview on BET Inhibitors: Beyond Bromodomain Targeting.Biomedicines · 2025Review
- Docking‑based virtual screening of BRD4 (BD1) inhibitors: assessment of docking methods, scoring functions and in silico molecular properties.BMC chemistry · 2024Article
- Unveiling Allosteric Regulation and Binding Mechanism of BRD9 through Molecular Dynamics Simulations and Markov Modeling.Molecules (Basel, Switzerland) · 2024Article
- Accounting for Solvation Correlation Effects on the Thermodynamics of Water Networks in Protein Cavities.Journal of chemical information and modeling · 2023Article
- Discovery of Novel PI3Kδ Inhibitors Based on the p110δ Crystal Structure.Molecules (Basel, Switzerland) · 2022Article
- Exploring the Resistance Mechanisms of Distal D835V Mutation in FLT3 to Inhibitors.Oxidative medicine and cellular longevity · 2022Article
- Energy penalties enhance flexible receptor docking in a model cavity.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Discovery of a hidden transient state in all bromodomain families.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Based on the Virtual Screening of Multiple Pharmacophores, Docking and Molecular Dynamics Simulation Approaches toward the Discovery of Novel HPPD Inhibitors.International journal of molecular sciences · 2020Article
- In silico design and molecular basis for the selectivity of Olinone toward the first over the second bromodomain of BRD4.Proteins · 2020Article
- Decoys Selection in Benchmarking Datasets: Overview and Perspectives.Frontiers in pharmacology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Computational screening is a method to prioritize small-molecule compounds based on the structural and biochemical attributes built from ligand and target information. Previously, we have developed a scalable virtual screening workflow to identify novel multitarget kinase/bromodomain inhibitors. In the current study, we identified several novel
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.