ArticleJournal of chemical theory and computation2025
KaMLs for Predicting Protein p
Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Protein Electrostatic Properties are Finetuned Through Evolution.bioRxiv : the preprint server for biology · 2026Article
- Graph-Based Deep Learning Models for Predicting pJournal of chemical information and modeling · 2026Article
- Single-Molecule Discrimination of Multisialylated Ganglioside Oligosaccharides Using an Engineered Nanopore.Research (Washington, D.C.) · 2026Article
- Illuminating the Druggable Human Proteome with an AI Protein Profiling Platform.Research square · 2025Article
- Predicting residue ionization of OmpF channel using Constant pH Molecular Dynamics as benchmark.PLoS computational biology · 2025Article
- Illuminating the Druggable Human Proteome with an AI Protein Profiling Platform.bioRxiv : the preprint server for biology · 2025Article
- Accurate Predictions of Molecular Properties of Proteins via Graph Neural Networks and Transfer Learning.Journal of chemical theory and computation · 2025Article
- Protein Electrostatic Properties are Fine-Tuned Through Evolution.Research square · 2025Article
Corrections and comments
- Update of
Authors and funding
7 authors.
Funding
Abstract
Despite its importance in understanding biology and computer-aided drug discovery, the accurate prediction of protein ionization states remains a formidable challenge. Physics-based approaches struggle to capture the small, competing contributions in the complex protein environment, while machine learning (ML) is hampered by the scarcity of experimental data. Here, we report the development of p
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.