ArticleJournal of chemical theory and computation2022
A Fast and Interpretable Deep Learning Approach for Accurate Electrostatics-Driven 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 25 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
25 citing papers in PubMed.
- Article
- 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
- TrIPP: a trajectory iterative pKa predictor.Bioinformatics (Oxford, England) · 2026Article
- Protein Kinase A Phosphorylates a Conformationally High-energy State of Raf Kinase Inhibitory Protein.Journal of molecular biology · 2025Article
- Oxidative denaturation of Cu/Zn-superoxide dismutase associated with neurodegenerative diseases.Protein science : a publication of the Protein Society · 2025Article
- 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
- Machine Learning Meets Physics-based Modeling: A Mass-spring System to Predict Protein-ligand Binding Affinity.Current medicinal chemistry · 2025Review
- Adding the AMBER 14SB Force Field to the Stochastic Titration CpHMD Method.Journal of chemical theory and computation · 2025Article
- Accurate Predictions of Molecular Properties of Proteins via Graph Neural Networks and Transfer Learning.Journal of chemical theory and computation · 2025Article
- KaMLs for Predicting Protein pJournal of chemical theory and computation · 2025Article
- KaMLs for Predicting Protein pbioRxiv : the preprint server for biology · 2025Article
- Comparative Analysis of pACS omega · 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
- ProCaliper: functional and structural analysis, visualization, and annotation of proteins.Bioinformatics advances · 2025Article
- Kinetic principles of chemical cross-link formation for protein-protein interactions.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- PypKa server: online pKa predictions and biomolecular structure preparation with precomputed data from PDB and AlphaFold DB.Nucleic acids research · 2024Article
- Constant-pH Simulations with the Polarizable Atomic Multipole AMOEBA Force Field.Journal of chemical theory and computation · 2024Article
- Comparative Performance of High-Throughput Methods for Protein pJournal of chemical information and modeling · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Existing computational methods for estimating 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.