Uncertainty quantification of receptor ligand binding sites prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Nanjie, Yu, Dongliang, Beglov, Dmitri, Kon, Mark, Castrillon-Candas, Julio Enrique |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improved prediction of ligand-protein binding affinities by meta-modeling
by: Lee, Ho-Joon, et al.
Published: (2023)
by: Lee, Ho-Joon, et al.
Published: (2023)
T cell receptor binding prediction: A machine learning revolution
by: Weber, Anna, et al.
Published: (2023)
by: Weber, Anna, et al.
Published: (2023)
tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificity
by: Fang, Xing, et al.
Published: (2024)
by: Fang, Xing, et al.
Published: (2024)
Edge-aware GAT-based protein binding site prediction
by: Yang, Weisen, et al.
Published: (2026)
by: Yang, Weisen, et al.
Published: (2026)
ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
by: Michalewicz, Kevin, et al.
Published: (2024)
by: Michalewicz, Kevin, et al.
Published: (2024)
Continued domain-specific pre-training of protein language models for pMHC-I binding prediction
by: Mares, Sergio E., et al.
Published: (2025)
by: Mares, Sergio E., et al.
Published: (2025)
Uncertainty quantification in flow cytometry using a cell sorter
by: Krishnaswamy-Usha, Amudhan, et al.
Published: (2024)
by: Krishnaswamy-Usha, Amudhan, et al.
Published: (2024)
GCBLANE: A graph-enhanced convolutional BiLSTM attention network for improved transcription factor binding site prediction
by: Ferrao, Jonas Chris, et al.
Published: (2025)
by: Ferrao, Jonas Chris, et al.
Published: (2025)
Look mom, no experimental data! Learning to score protein-ligand interactions from simulations
by: Brocidiacono, Michael, et al.
Published: (2025)
by: Brocidiacono, Michael, et al.
Published: (2025)
Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists
by: Ivanova, Mariya L., et al.
Published: (2025)
by: Ivanova, Mariya L., et al.
Published: (2025)
Efficient gPC-based quantification of probabilistic robustness for systems in neuroscience
by: Sutulovic, Uros, et al.
Published: (2024)
by: Sutulovic, Uros, et al.
Published: (2024)
Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences
by: Plank, Michael J., et al.
Published: (2024)
by: Plank, Michael J., et al.
Published: (2024)
Explainable Deep Learning Framework for SERS Bio-quantification
by: Zaki, Jihan K., et al.
Published: (2024)
by: Zaki, Jihan K., et al.
Published: (2024)
Exploring accuracy and uncertainty quantification in physics-informed neural networks for inferring microbial community dynamics
by: Fontanarrosa, Pedro, et al.
Published: (2025)
by: Fontanarrosa, Pedro, et al.
Published: (2025)
Learning immune receptor representations with protein language models
by: Dounas, Andreas, et al.
Published: (2024)
by: Dounas, Andreas, et al.
Published: (2024)
A decision-theoretic framework for uncertainty quantification in epidemiological modelling
by: Steyn, Nicholas, et al.
Published: (2025)
by: Steyn, Nicholas, et al.
Published: (2025)
Maximal Speed of Glucose Change Significantly Distinguishes Prediabetes from Diabetes
by: Wang, Dandan, et al.
Published: (2025)
by: Wang, Dandan, et al.
Published: (2025)
Bayesian ensemble learning for predicting health outcomes of multipollutant mixtures
by: Ning, Yu-Chien, et al.
Published: (2025)
by: Ning, Yu-Chien, et al.
Published: (2025)
Evaluating protein binding interfaces with PUMBA
by: Shirali, Azam, et al.
Published: (2025)
by: Shirali, Azam, et al.
Published: (2025)
Chemistry-informed Machine Learning Explains Calcium-binding Proteins Fuzzy Shape for Communicating Changes in the Atomic States of Calcium Ions
by: Zhang, Pengzhi, et al.
Published: (2024)
by: Zhang, Pengzhi, et al.
Published: (2024)
ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning
by: Zeng, Wenwu, et al.
Published: (2023)
by: Zeng, Wenwu, et al.
Published: (2023)
Implementation of an AI-based MRD evaluation and prediction model for multiple myeloma
by: Chen, Jianfeng, et al.
Published: (2024)
by: Chen, Jianfeng, et al.
Published: (2024)
Timing consistency of T cell receptor activation in a stochastic model combining kinetic segregation and proofreading
by: Prüstel, Thorsten, et al.
Published: (2024)
by: Prüstel, Thorsten, et al.
Published: (2024)
Benchmarking structure-based three-dimensional molecular generative models using GenBench3D: ligand conformation quality matters
by: Baillif, Benoit, et al.
Published: (2024)
by: Baillif, Benoit, et al.
Published: (2024)
CEI: A Clonal Expansion Identifier for T-cell receptor clones following SARS-CoV-2 vaccination
by: Pan, Yunbei, et al.
Published: (2026)
by: Pan, Yunbei, et al.
Published: (2026)
Drug-target interaction prediction by integrating heterogeneous information with mutual attention network
by: Zhang, Yuanyuan, et al.
Published: (2024)
by: Zhang, Yuanyuan, et al.
Published: (2024)
Reducing Uncertainty Through Mutual Information in Structural and Systems Biology
by: Zaballa, Vincent D., et al.
Published: (2024)
by: Zaballa, Vincent D., et al.
Published: (2024)
Microsimulation Estimates of Decision Uncertainty and Value of Information Are Biased but Consistent
by: Goldhaber-Fiebert, Jeremy D., et al.
Published: (2024)
by: Goldhaber-Fiebert, Jeremy D., et al.
Published: (2024)
Statistical quantification of confounding bias in predictive modelling
by: Spisak, Tamas
Published: (2021)
by: Spisak, Tamas
Published: (2021)
Inferring and predicting Fried physical frailty phenotype deficits
by: Pridham, Glen, et al.
Published: (2025)
by: Pridham, Glen, et al.
Published: (2025)
A graph-based approach for modification site assignment in proteomics
by: Skiadopoulou, Dafni, et al.
Published: (2025)
by: Skiadopoulou, Dafni, et al.
Published: (2025)
The evolution of systems biology and systems medicine: From mechanistic models to uncertainty quantification
by: Qiao, Lingxia, et al.
Published: (2024)
by: Qiao, Lingxia, et al.
Published: (2024)
Benchmarking AlphaFold3's protein-protein complex accuracy and machine learning prediction reliability for binding free energy changes upon mutation
by: Wee, JunJie, et al.
Published: (2024)
by: Wee, JunJie, et al.
Published: (2024)
Essential Workers at Risk: An Agent-Based Model (SAFE-ABM) with Bayesian Uncertainty Quantification
by: Amona, Elizabeth B., et al.
Published: (2025)
by: Amona, Elizabeth B., et al.
Published: (2025)
Unveiling Scaling Laws of Parameter Identifiability and Uncertainty Quantification in Data-Driven Biological Modeling
by: Wang, Shun, et al.
Published: (2026)
by: Wang, Shun, et al.
Published: (2026)
INDIGENA: inductive prediction of disease-gene associations using phenotype ontologies
by: Zhapa-Camacho, Fernando, et al.
Published: (2026)
by: Zhapa-Camacho, Fernando, et al.
Published: (2026)
Lightning-fast adaptive immune receptor similarity search by symmetric deletion lookup
by: Chotisorayuth, Touchchai, et al.
Published: (2024)
by: Chotisorayuth, Touchchai, et al.
Published: (2024)
Comparing Bayesian and Frequentist Inference in Biological Models: A Comparative Analysis of Accuracy, Uncertainty, and Identifiability
by: Mohammed, Mohammed A. Y., et al.
Published: (2025)
by: Mohammed, Mohammed A. Y., et al.
Published: (2025)
CANA v1.0.0 and schematodes: efficient quantification of symmetry in Boolean automata
by: Marcus, Austin M., et al.
Published: (2024)
by: Marcus, Austin M., et al.
Published: (2024)
Uncertainty and sensitivity analysis of hair growth duration in human scalp follicles under normal and alopecic conditions
by: Dobreva, Atanaska, et al.
Published: (2025)
by: Dobreva, Atanaska, et al.
Published: (2025)
Similar Items
-
Improved prediction of ligand-protein binding affinities by meta-modeling
by: Lee, Ho-Joon, et al.
Published: (2023) -
T cell receptor binding prediction: A machine learning revolution
by: Weber, Anna, et al.
Published: (2023) -
tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificity
by: Fang, Xing, et al.
Published: (2024) -
Edge-aware GAT-based protein binding site prediction
by: Yang, Weisen, et al.
Published: (2026) -
ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
by: Michalewicz, Kevin, et al.
Published: (2024)