Copertina

Protein sequence classification using natural language processing techniques

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Perveen, Huma, Weeds, Julie
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Quantitative Methods Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SBSM-Pro: Support Bio-sequence Machine for Proteins
di: Wang, Yizheng, et al.
Pubblicazione: (2023)

Evaluating DNA function understanding in genomic language models using evolutionarily implausible sequences
di: Jiang, Shiyu, et al.
Pubblicazione: (2025)

Generative power of a protein language model trained on multiple sequence alignments
di: Sgarbossa, Damiano, et al.
Pubblicazione: (2022)

Nonparametric learning of covariate-based Markov jump processes using RKHS techniques
di: Han, Yuchen, et al.
Pubblicazione: (2025)

Uncertainty-aware classification and triage of structural heart disease using electrocardiography and echocardiography metrics
di: Colebank, Mitchel J.
Pubblicazione: (2026)

PoET: A generative model of protein families as sequences-of-sequences
di: Truong Jr, Timothy F., et al.
Pubblicazione: (2023)

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data
di: Frank, Robert, et al.
Pubblicazione: (2025)

ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning
di: Wang, Ziwen, et al.
Pubblicazione: (2025)

PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
di: Bal, Rakesh, et al.
Pubblicazione: (2023)

ProteinRPN: Towards Accurate Protein Function Prediction with Graph-Based Region Proposals
di: Mitra, Shania, et al.
Pubblicazione: (2024)

Inferring processes within dynamic forest models using hybrid modeling
di: Pichler, Maximilian, et al.
Pubblicazione: (2025)

Learning the Language of Protein Structure
di: Gaujac, Benoit, et al.
Pubblicazione: (2024)

Forest tree species classification and entropy-derived uncertainty mapping using extreme gradient boosting and Sentinel-1/2 satellite data
di: Abdi, Abdulhakim M., et al.
Pubblicazione: (2025)

A Comprehensive Review of Transformer-based language models for Protein Sequence Analysis and Design
di: Ghosh, Nimisha, et al.
Pubblicazione: (2025)

Spatiotemporal graph neural process for reconstruction, extrapolation, and classification of cardiac trajectories
di: Banus, Jaume, et al.
Pubblicazione: (2025)

ImmunoLingo: Linguistics-based formalization of the antibody language
di: Vu, Mai Ha, et al.
Pubblicazione: (2022)

A novel approach to classification of ECG arrhythmia types with latent ODEs
di: Yan, Angelina, et al.
Pubblicazione: (2025)

Hybrid Machine Learning techniques in the management of harmful algal blooms impact
di: Molares-Ulloa, Andres, et al.
Pubblicazione: (2024)

Machine Learning and statistical classification of CRISPR-Cas12a diagnostic assays
di: Khosla, Nathan, et al.
Pubblicazione: (2025)

Low-N Protein Activity Optimization with FolDE
di: Roberts, Jacob B., et al.
Pubblicazione: (2025)

Protein Circuit Tracing via Cross-layer Transcoders
di: Tsui, Darin, et al.
Pubblicazione: (2026)

Better Protein Function Prediction by Modeling Survivorship Bias
di: Chao, Zhongmou, et al.
Pubblicazione: (2026)

Linguistically inspired roadmap for building biologically reliable protein language models
di: Vu, Mai Ha, et al.
Pubblicazione: (2022)

How to make the most of your masked language model for protein engineering
di: McCarter, Calvin, et al.
Pubblicazione: (2026)

Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs
di: Chatzianastasis, Michail, et al.
Pubblicazione: (2024)

DPLM-2: A Multimodal Diffusion Protein Language Model
di: Wang, Xinyou, et al.
Pubblicazione: (2024)

The cell as a token: high-dimensional geometry in language models and cell embeddings
di: Gilpin, William
Pubblicazione: (2025)

Sparse Autoencoders for Low-$N$ Protein Function Prediction and Design
di: Tsui, Darin, et al.
Pubblicazione: (2025)

Hierarchical Contrastive Learning for Multi-Domain Protein-Ligand Binding
di: Zhang, Shuo, et al.
Pubblicazione: (2026)

Molecular Embedding-Based Algorithm Selection in Protein-Ligand Docking
di: Wang, Jiabao Brad, et al.
Pubblicazione: (2025)

A Diffusion Model to Shrink Proteins While Maintaining Their Function
di: Baron, Ethan, et al.
Pubblicazione: (2025)

Data-Dependent Smoothing for Protein Discovery with Walk-Jump Sampling
di: Anumasa, Srinivas, et al.
Pubblicazione: (2025)

SimpleFold: Folding Proteins is Simpler than You Think
di: Wang, Yuyang, et al.
Pubblicazione: (2025)

Binary Latent Protein Fitness Landscapes for Quantum Annealing Optimization
di: Hy, Truong-Son
Pubblicazione: (2026)

Protein-Mamba: Biological Mamba Models for Protein Function Prediction
di: Xu, Bohao, et al.
Pubblicazione: (2024)

The limits of bio-molecular modeling with large language models : a cross-scale evaluation
di: Xu, Yaxin, et al.
Pubblicazione: (2026)

Zero-Shot Learning with Subsequence Reordering Pretraining for Compound-Protein Interaction
di: Zhang, Hongzhi, et al.
Pubblicazione: (2025)

Repurposing Protein Language Models for Latent Flow-Based Fitness Optimization
di: Arroyo, Amaru Caceres, et al.
Pubblicazione: (2026)

Single molecule localization microscopy challenge: a biologically inspired benchmark for long-sequence modeling
di: Valeh, Fatemeh, et al.
Pubblicazione: (2026)

Privacy-Preserving Multi-Center Differential Protein Abundance Analysis with FedProt
di: Burankova, Yuliya, et al.
Pubblicazione: (2024)