ArticleInternational journal of molecular sciences2023
DeepSTABp: A Deep Learning Approach for the Prediction of Thermal Protein Stability.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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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.
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Who cites it
35 citing papers in PubMed.
- CEM 2.0: Co-evolution-guided mining of superior extremophilic proteins via a curated proteome database and protein language model.Engineering microbiology · 2026Article
- Peptidomics-guided 3D structural-mechanistic investigation of bovine colostrum peptides reveals multi-targetedFood chemistry: X · 2026Article
- Genomic, Proteomic, and Structural Insights Into the Transition of FtsZ From Thermophiles to Mesophiles Across the Prokaryotic Kingdom.Proteins · 2026Article
- Dynamics-informed multigraph neural networks for protein thermostability prediction and residue-level interpretation.iScience · 2026Article
- In Silico Design and Computational Characterization of Novel Chimeric Multiepitope Antigens for Mpox Serosurveillance: An Immunoinformatics Approach.Health science reports · 2026Article
- Small heat shock proteins with two alpha-crystallin domains: a new set of proteins in the earthworm Eisenia fetida with differential transcriptional responses to stressors.Environmental science and pollution research international · 2026Article
- Label-Free Target Discovery Strategy for Natural Active Products.Biomolecules · 2026Review
- Article
- FireProtDB 2.0: large-scale manually curated database of the protein stability data.Nucleic acids research · 2026Article
- Supervised Learning of Protein Melting Temperature: Cross-Species vs. Species-Specific Prediction.Proteins · 2025Article
- Article
- Cytoplasmic fluidity and the cold life: proteome stability is decoupled from viability in psychrophiles.Nature communications · 2025Article
- MTD: A cloud-based omics database and interactive platform forSynthetic and systems biotechnology · 2025Article
- A protein-specific priority code in presequences determines the efficiency of mitochondrial protein import.PLoS biology · 2025Article
- Prediction and design of thermostable proteins with a desired melting temperature.Scientific reports · 2025Article
- Review
- Enzyme-Embedded Biodegradable Plastic for Sustainable Applications: Advances, Challenges, and Perspectives.ACS applied bio materials · 2025Review
- ProCeSa: Contrast-Enhanced Structure-Aware Network for Thermostability Prediction with Protein Language Models.Journal of chemical information and modeling · 2025Article
- Design of Cell-Penetrating Domain Antibodies via a Genetically Encoded β-Lactam Amino Acid.Angewandte Chemie (International ed. in English) · 2025Article
- ESMStabP: A Regression Model for Protein Thermostability Prediction.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Proteins are essential macromolecules that carry out a plethora of biological functions. The thermal stability of proteins is an important property that affects their function and determines their suitability for various applications. However, current experimental approaches, primarily thermal proteome profiling, are expensive, labor-intensive, and have limited proteome and species coverage. To close the gap between available experimental data and sequence information, a novel protein thermal stability predictor called DeepSTABp has been developed. DeepSTABp uses a transformer-based protein language model for sequence embedding and state-of-the-art feature extraction in combination with other deep learning techniques for end-to-end protein melting temperature prediction. DeepSTABp can predict the thermal stability of a wide range of proteins, making it a powerful and efficient tool for large-scale prediction. The model captures the structural and biological properties that impact protein stability, and it allows for the identification of the structural features that contribute to protein stability. DeepSTABp is available to the public via a user-friendly web interface, making it accessible to researchers in various fields.
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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.