Cover Image

RNA-GPT: Multimodal Generative System for RNA Sequence Understanding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiao, Yijia, Sun, Edward, Jin, Yiqiao, Wang, Wei
Format:	Preprint
Published:	2024
Subjects:	Genomics Artificial Intelligence Computational Engineering, Finance, and Science Machine Learning Biomolecules
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
by: Xiao, Yijia, et al.
Published: (2024)

Protein Large Language Models: A Comprehensive Survey
by: Xiao, Yijia, et al.
Published: (2025)

PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
by: Zhang, Ruochi, et al.
Published: (2024)

ProtChatGPT: Towards Understanding Proteins with Large Language Models
by: Wang, Chao, et al.
Published: (2024)

SAE-RNA: A Sparse Autoencoder Model for Interpreting RNA Language Model Representations
by: Kim, Taehan, et al.
Published: (2025)

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations
by: Bini, Lorenzo, et al.
Published: (2025)

RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design
by: Anand, Rishabh, et al.
Published: (2024)

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
by: Pei, Qizhi, et al.
Published: (2024)

PILOT: Equivariant diffusion for pocket conditioned de novo ligand generation with multi-objective guidance via importance sampling
by: Cremer, Julian, et al.
Published: (2024)

Aligning Large Language Models and Geometric Deep Models for Protein Representation
by: Shu, Dong, et al.
Published: (2024)

Precise Antigen-Antibody Structure Predictions Enhance Antibody Development with HelixFold-Multimer
by: Gao, Jie, et al.
Published: (2024)

ACP-ESM: A novel framework for classification of anticancer peptides using protein-oriented transformer approach
by: Kilimci, Zeynep Hilal, et al.
Published: (2024)

Effective Protein-Protein Interaction Exploration with PPIretrieval
by: Hua, Chenqing, et al.
Published: (2024)

CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
by: Zhou, Yi, et al.
Published: (2024)

Text-Guided Molecule Generation with Diffusion Language Model
by: Gong, Haisong, et al.
Published: (2024)

De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
by: Hu, Xiuyuan, et al.
Published: (2023)

Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
by: Celikkanat, Abdulkadir, et al.
Published: (2024)

ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data
by: Jiao, Yifeng, et al.
Published: (2025)

Task-Specific Sparse Feature Masks for Molecular Toxicity Prediction with Chemical Language Models
by: Lee, Kwun Sy, et al.
Published: (2025)

Missing-Modality-Aware Graph Neural Network for Cancer Classification
by: Tabakhi, Sina, et al.
Published: (2025)

Foundation Models for AI-Enabled Biological Design
by: Moldwin, Asher, et al.
Published: (2025)

3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
by: Pei, Qizhi, et al.
Published: (2024)

Empirical Evidence for the Fragment level Understanding on Drug Molecular Structure of LLMs
by: Hu, Xiuyuan, et al.
Published: (2024)

CAME-AB: Cross-Modality Attention with Mixture-of-Experts for Antibody Binding Site Prediction
by: Li, Hongzong, et al.
Published: (2025)

Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions
by: Jiao, Xiaoran, et al.
Published: (2024)

AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation
by: Liu, Lijun, et al.
Published: (2024)

Scaffold Splits Overestimate Virtual Screening Performance
by: Guo, Qianrong, et al.
Published: (2024)

AbBiBench: A Benchmark for Antibody Binding Affinity Maturation and Design
by: Zhao, Xinyan, et al.
Published: (2025)

BConformeR: A Conformer Based on Mutual Sampling for Unified Prediction of Continuous and Discontinuous Antibody Binding Sites
by: You, Zhangyu, et al.
Published: (2025)

Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study
by: Jackson, David, et al.
Published: (2026)

Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease
by: de Lope, Elisa Gómez, et al.
Published: (2024)

Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models
by: Liu, Lihang, et al.
Published: (2023)

Constrained Shape Analysis with Applications to RNA Structure
by: Mardia, Kanti V., et al.
Published: (2025)

Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks
by: Wang, Xinyu, et al.
Published: (2025)

ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling
by: Zheng, Kangjie, et al.
Published: (2024)

SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries
by: Tsui, Darin, et al.
Published: (2024)

GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction
by: Inoue, Yoshitaka, et al.
Published: (2025)

Re-evaluating sample efficiency in de novo molecule generation
by: Thomas, Morgan, et al.
Published: (2022)

Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
by: Shi, Xinyu, et al.
Published: (2024)

Gradient GA: Gradient Genetic Algorithm for Drug Molecular Design
by: Zhuang, Chris, et al.
Published: (2025)