Cover Image

An Active Learning Framework for Data-Efficient, Human-in-the-Loop Enzyme Function Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Babjac, Ashley, Hoarfrost, Adrienne
Format:	Preprint
Published:	2026
Subjects:	Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GRIMM: Genetic stRatification for Inference in Molecular Modeling
by: Babjac, Ashley, et al.
Published: (2026)

Substrate Prediction for RiPP Biosynthetic Enzymes via Masked Language Modeling and Transfer Learning
by: Clark, Joseph D., et al.
Published: (2024)

A Regressor-Guided Graph Diffusion Model for Predicting Enzyme Mutations to Enhance Turnover Number
by: Yu, Xiaozhu, et al.
Published: (2024)

CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
by: Mikhael, Peter G., et al.
Published: (2024)

Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion
by: Rong, Dingyi, et al.
Published: (2024)

Radical-mediated Electrical Enzyme Assay For At-home Clinical Test
by: Jang, Hyun-June, et al.
Published: (2024)

MS2toImg: A Framework for Direct Bioactivity Prediction from Raw LC-MS/MS Data
by: Hong, Hansol, et al.
Published: (2025)

Improving Antibody Humanness Prediction using Patent Data
by: Ucar, Talip, et al.
Published: (2024)

VIGIL: Vision-Language Guided Multiple Instance Learning Framework for Ulcerative Colitis Histological Healing Prediction
by: Qiu, Zhengxuan, et al.
Published: (2025)

How Light Reshapes the Mind. An Active Inference Framework for the Cognitive and Emotional Effects of Indoor Lighting
by: Possati, Luca M.
Published: (2026)

A Linear Generative Framework for Structure-Function Coupling in the Human Brain
by: Kelemen, Sam Frank, et al.
Published: (2025)

Beyond Protein Language Models: An Agentic LLM Framework for Mechanistic Enzyme Design
by: Jacob, Bruno, et al.
Published: (2025)

CGM Data Analysis 2.0: Functional Data Pattern Recognition and Artificial Intelligence Applications
by: Klonoff, David C., et al.
Published: (2025)

UNISEP: A Unified Sensor Placement Framework for Human Motion Capture and Wearables
by: Welzel, Julius, et al.
Published: (2024)

OMOP ETL Framework for Semi-Structured Health Data
by: Desmond, Jacob, et al.
Published: (2025)

A Data-Driven Measure of REM Sleep Propensity for Human and Rodent Sleep
by: Akhavan, Naghmeh, et al.
Published: (2026)

HyperADRs: A Hierarchical Hypergraph Framework for Drug-Gene-ADR Prediction
by: Cai, Ze, et al.
Published: (2025)

HuBMAP Data Portal: A Resource for Multi-Modal Spatial and Single-Cell Data of Healthy Human Tissues
by: Turner, Morgan L., et al.
Published: (2025)

Soft Modes as a Predictive Framework for Low Dimensional Biological Systems across Scales
by: Russo, Christopher Joel, et al.
Published: (2024)

Multivariate Functional Data Analysis Uncovers Behavioral Fingerprints in Invertebrate Locomotor Response to Micropollutants
by: Ruck, George, et al.
Published: (2025)

KinForm: Kinetics Informed Feature Optimised Representation Models for Enzyme $k_{cat}$ and $K_{M}$ Prediction
by: Alwer, Saleh, et al.
Published: (2025)

Peak-Nadir Encoding for Efficient CGM Data Compression and High-Fidelity Reconstruction
by: Bender, Clara, et al.
Published: (2026)

Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data
by: Strobl, Eric V.
Published: (2025)

A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction
by: Song, Yuehua, et al.
Published: (2025)

Beyond the Clinic: A Large-Scale Evaluation of Augmenting EHR with Wearable Data for Diverse Health Prediction
by: Wang, Will Ke, et al.
Published: (2025)

Crown-Like Structures in Breast Adipose Tissue: Finding a 'Needle-in-a-Haystack' using Artificial Intelligence and Collaborative Active Learning on the Web
by: Bhawsar, Praphulla MS, et al.
Published: (2024)

RNA-Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey
by: Li, Danyu, et al.
Published: (2024)

Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients
by: Si, Yong, et al.
Published: (2025)

Active Learning on Synthons for Molecular Design
by: Grigg, Tom George, et al.
Published: (2025)

Towards Precision Oncology: Predicting Mortality and Relapse-Free Survival in Head and Neck Cancer Using Clinical Data
by: Dhariwal, Naman, et al.
Published: (2025)

Domain-Aware Geometric Multimodal Learning for Multi-Domain Protein-Ligand Affinity Prediction
by: Zhang, Shuo, et al.
Published: (2026)

Mechanistic Learning for Survival Prediction in NSCLC Using Routine Blood Biomarkers and Tumor Kinetics
by: Taieb, Ruben, et al.
Published: (2026)

IUPAC-Induced Computational Approaches for Identifying Boosters of Small Biomolecule Functionality: A Case Study of Human Tyrosyl-DNA Phosphodiesterase 1 (TDP1) Inhibitors
by: Ivanova, Mariya L., et al.
Published: (2025)

Homeostatic Kinematic Growth Model for Arteries -- Residual Stresses and Active Response
by: Uhlmann, Klemens, et al.
Published: (2025)

Leveraging Protein Language Model Embeddings for Catalytic Turnover Prediction of Adenylate Kinase Orthologs in a Low-Data Regime
by: Muir, Duncan F., et al.
Published: (2025)

Leveraging Retrieval-Augmented Generation and Large Language Models to Predict SERCA-Binding Protein Fragments from Cardiac Proteomics Data
by: Phillips, Taylor A, et al.
Published: (2025)

ST2HE: A Cross-Platform Framework for Virtual Histology and Annotation of High-Resolution Spatial Transcriptomics Data
by: Liu, Zhentao, et al.
Published: (2025)

Identifying Therapeutic Targets for Triple-Negative Breast Cancer using a Novel Mathematical Model of the Tumor Microenvironment
by: Adams, Kyle, et al.
Published: (2026)

LAFA: A Framework for Reproducible Longitudinal Assessment of Protein Function Annotation Models
by: Phan, An, et al.
Published: (2026)

Deep Learning for Blood-Brain Barrier Permeability Prediction: From Discriminative Models to Mechanism-Aware Design
by: Yang, Zihan, et al.
Published: (2025)