ArticleJournal of chemical theory and computation2022
Protein p
Article in Journal of chemical theory and computation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- pKa prediction for small molecules: an overview of experimental, quantum, and machine learning-based approaches.Journal of computer-aided molecular design · 2025Review
- PKAD-R: curated, redesigned and expanded database of experimental pKa values in proteins.Journal of computational biophysics and chemistry · 2025Article
- Structure-based rational design of covalent probes.Communications chemistry · 2025Review
- Accurate Predictions of Molecular Properties of Proteins via Graph Neural Networks and Transfer Learning.Journal of chemical theory and computation · 2025Article
- Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms.Scientific reports · 2025Article
- KaMLs for Predicting Protein pJournal of chemical theory and computation · 2025Article
- KaMLs for Predicting Protein pbioRxiv : the preprint server for biology · 2025Article
- MEDOC: A Fast, Scalable, and Mathematically Exact Algorithm for the Site-Specific Prediction of the Protonation Degree in Large Disordered Proteins.Journal of chemical information and modeling · 2025Article
- Machine Learning IsotropicJournal of chemical theory and computation · 2024Article
- Accurately Predicting Protein pJournal of chemical theory and computation · 2023Article
- Swarm Smart Meta-Estimator for 2D/2D Heterostructure Design.Journal of chemical information and modeling · 2023Article
- Revolutionizing Medicinal Chemistry: The Application of Artificial Intelligence (AI) in Early Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Toward an Integrated Machine Learning Model of a Proteomics Experiment.Journal of proteome research · 2023Review
- AlphaFold, Artificial Intelligence (AI), and Allostery.The journal of physical chemistry. B · 2022Review
- A Fast and Interpretable Deep Learning Approach for Accurate Electrostatics-Driven pJournal of chemical theory and computation · 2022Article
- AlphaFold 2 and NMR Spectroscopy: Partners to Understand Protein Structure, Dynamics and Function.Frontiers in molecular biosciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Protonation states of ionizable protein residues modulate many essential biological processes. For correct modeling and understanding of these processes, it is crucial to accurately determine their 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.