Cover Image

A Solid-State Nanopore Signal Generator for Training Machine Learning Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Johnson, Jaise, Galigekere, Chinmayi R, Varma, Manoj M
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Biological Physics Biomolecules Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning-Driven Peptide Classification in Biological Nanopores
by: Tovey, Samuel, et al.
Published: (2025)

On-Chip and Off-Chip TIA Amplifiers for Nanopore Signal Readout Design, Performance and Challenges: A Review
by: Deepthi, K. Ashoka, et al.
Published: (2025)

JAMUN: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensembles
by: Daigavane, Ameya, et al.
Published: (2024)

Integrating Chemical Language and Molecular Graph in Multimodal Fused Deep Learning for Drug Property Prediction
by: Lu, Xiaohua, et al.
Published: (2023)

BInD: Bond and Interaction-generating Diffusion Model for Multi-objective Structure-based Drug Design
by: Lee, Joongwon, et al.
Published: (2024)

On-Site Precise Screening of SARS-CoV-2 Systems Using a Channel-Wise Attention-Based PLS-1D-CNN Model with Limited Infrared Signatures
by: Zhang, Wenwen, et al.
Published: (2024)

ResCap-DBP: A Lightweight Residual-Capsule Network for Accurate DNA-Binding Protein Prediction Using Global ProteinBERT Embeddings
by: Shuvo, Samiul Based, et al.
Published: (2025)

Data-driven Discovery of Biophysical T Cell Receptor Co-specificity Rules
by: Pyo, Andrew G. T., et al.
Published: (2024)

Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction
by: Alcaide, Eric, et al.
Published: (2024)

MoDyGAN: Combining Molecular Dynamics With GANs to Investigate Protein Conformational Space
by: Liang, Jingbo, et al.
Published: (2025)

AI-based Methods for Simulating, Sampling, and Predicting Protein Ensembles
by: Jing, Bowen, et al.
Published: (2025)

AMARO: All Heavy-Atom Transferable Neural Network Potentials of Protein Thermodynamics
by: Mirarchi, Antonio, et al.
Published: (2024)

Optimizing adaptive sampling via Policy Ranking
by: Nadeem, Hassan, et al.
Published: (2024)

General Binding Affinity Guidance for Diffusion Models in Structure-Based Drug Design
by: Jian, Yue, et al.
Published: (2024)

Data Sieving for Scalable Real-Time Multichannel Nanopore Sensing
by: Cartiglia, Matteo, et al.
Published: (2026)

Training-Free Guidance for Discrete Diffusion Models for Molecular Generation
by: Kerby, Thomas J., et al.
Published: (2024)

ConfRover: Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression
by: Shen, Yuning, et al.
Published: (2025)

Hybrid quantum cycle generative adversarial network for small molecule generation
by: Anoshin, Matvei, et al.
Published: (2023)

RAPID-Net: Accurate Pocket Identification for Binding-Site-Agnostic Docking
by: Balytskyi, Yaroslav, et al.
Published: (2025)

Machine Learning for RNA Secondary Structure Prediction: a review of current methods and challenges
by: Sacco, Giuseppe, et al.
Published: (2025)

A Unified Intracellular pH Landscape with SITE-pHorin: a Quantum-Entanglement-Enhanced pH Probe
by: Li, Shu-Ang, et al.
Published: (2024)

Multiscale Growth Kinetics of Model Biomolecular Condensates Under Passive and Active Conditions
by: Sundararajan, Tamizhmalar, et al.
Published: (2025)

Physics-informed Deep Learning for Muscle Force Prediction with Unlabeled sEMG Signals
by: Ma, Shuhao, et al.
Published: (2024)

Bacterial stress granule protects mRNA through ribonucleases exclusion
by: Pei, Linsen, et al.
Published: (2024)

Enlightening the blind spot of the Michaelis-Menten rate law: The role of relaxation dynamics in molecular complex formation
by: Chae, Junghun, et al.
Published: (2024)

Active Force Dynamics in Red Blood Cells Under Non-Invasive Optical Tweezers
by: Dorn, Arnau, et al.
Published: (2025)

Target search on DNA -- effect of coiling
by: Lomholt, Michael A., et al.
Published: (2023)

Applied causality to infer protein dynamics and kinetics
by: Aranganathan, Akashnathan, et al.
Published: (2025)

Biological Insights from Integrative Modeling of Intrinsically Disordered Protein Systems
by: Liu, Zi Hao, et al.
Published: (2024)

Modelling Statistics of Polypeptides in Emissions from Smokers Near Ocean Ridges
by: Intoy, Ben, et al.
Published: (2025)

Advancements in Programmable Lipid Nanoparticles: Exploring the Four-Domain Model for Targeted Drug Delivery
by: Liu, Zhaoyu, et al.
Published: (2024)

Beyond traditional Magnetic Resonance processing with Artificial Intelligence
by: Jahangiri, Amir, et al.
Published: (2024)

Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics
by: Shoghi, Nima, et al.
Published: (2026)

Bistability in filamentous actin through monomer-sequestration of an effector species
by: Foteinopoulos, Panayiotis, et al.
Published: (2024)

Effects of 2.45 GHz radiofrequency upon Leuconostoc mesenteroides Glucose-6-phosphate dehydrogenase enzymatic activity
by: Miño-Galaz, G., et al.
Published: (2026)

Learning Biomolecular Motion: The Physics-Informed Machine Learning Paradigm
by: Deshpande, Aaryesh
Published: (2025)

Joint Geometric-Chemical Distance for Protein Surfaces
by: Swami, Himanshu, et al.
Published: (2026)

A multi-scale analysis of the CzrA transcription repressor highlights the allosteric changes induced by metal ion binding
by: Rigoli, Marta, et al.
Published: (2024)

Identifying the minimal sets of distance restraints for FRET-assisted protein structural modeling
by: Liu, Zhuoyi, et al.
Published: (2024)

Integrative dynamic structural biology unveils conformers essential for the oligomerization of a large GTPase
by: Peulen, Thomas-Otavio, et al.
Published: (2020)