ArticleMolecular diversity2024
Prediction of Rab5B inhibitors through integrative in silico techniques.
Article in Molecular diversity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 7 citations in OpenAlex.
- Identification of novel VPS4 inhibitors using multi-tiered structure based virtual screening.Molecular diversity · 2026Article
- In silico study to identify novel NEK7 inhibitors from natural sources by a combination strategy.Molecular diversity · 2025Article
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 at 1 institution in 1 country.
Funding
Abstract
Rab5B is a small monomeric G protein that regulates early endocytosis and controls signaling pathways related to cell growth, survival, and apoptosis. Dysregulation of Rab5B protein expression has been linked to the development of several cancers such as leukemia, lymphoma, kidney, prostate, ovarian, breast cancer, etc. Our research shows the first attempt to identify inhibitors that can target Rab5B GTPase. In this study, we performed molecular docking using Autodock Vina 1.5.6 and identified eight molecules with docking scores ranging from -9.8 to -10.6 kcal/mol. Thereafter, we examined the pharmacological characteristics of these compounds, and selected compounds were further analyzed for their conformational dynamics and thermodynamic stability using molecular dynamics simulations and molecular mechanics Poisson-Boltzmann surface area (MM-PBSA)-based free energy calculations. Notably, our findings revealed that strychnine had the highest binding affinity to Rab5B followed by anonaine, helioxanthin, and taiwanin E, with a ΔG
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.