Copertina

Multi-Objective-Guided Discrete Flow Matching for Controllable Biological Sequence Design

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Tong, Zhang, Yinuo, Tang, Sophia, Chatterjee, Pranam
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Biomolecules
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation
di: Tang, Sophia, et al.
Pubblicazione: (2025)

AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance
di: Chen, Tong, et al.
Pubblicazione: (2025)

Entangled Schrödinger Bridge Matching
di: Tang, Sophia, et al.
Pubblicazione: (2025)

Minimal-Action Discrete Schrödinger Bridge Matching for Peptide Sequence Design
di: Goel, Shrey, et al.
Pubblicazione: (2026)

PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
di: Tang, Sophia, et al.
Pubblicazione: (2024)

mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties
di: Patel, Sawan, et al.
Pubblicazione: (2026)

TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion
di: Tang, Sophia, et al.
Pubblicazione: (2025)

TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
di: Cao, Hanqun, et al.
Pubblicazione: (2026)

Token-Level Guided Discrete Diffusion for Membrane Protein Design
di: Goel, Shrey, et al.
Pubblicazione: (2024)

Dirichlet Flow Matching with Applications to DNA Sequence Design
di: Stark, Hannes, et al.
Pubblicazione: (2024)

RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
di: Nori, Divya, et al.
Pubblicazione: (2024)

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
di: Huguet, Guillaume, et al.
Pubblicazione: (2024)

Improved Off-policy Reinforcement Learning in Biological Sequence Design
di: Kim, Hyeonah, et al.
Pubblicazione: (2024)

Exploring Discrete Flow Matching for 3D De Novo Molecule Generation
di: Dunn, Ian, et al.
Pubblicazione: (2024)

RNACG: A Universal RNA Sequence Conditional Generation model based on Flow-Matching
di: Gao, Letian, et al.
Pubblicazione: (2024)

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design
di: Kshirsagar, Meghana, et al.
Pubblicazione: (2026)

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
di: Zhang, Xiang, et al.
Pubblicazione: (2025)

ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
di: Kong, Zitai, et al.
Pubblicazione: (2025)

Multi-Objective Latent Space Optimization of Generative Molecular Design Models
di: Abeer, A N M Nafiz, et al.
Pubblicazione: (2022)

Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization
di: Bergues, Noémie, et al.
Pubblicazione: (2025)

PepDoRA: A Unified Peptide Language Model via Weight-Decomposed Low-Rank Adaptation
di: Wang, Leyao, et al.
Pubblicazione: (2024)

RiboGen: RNA Sequence and Structure Co-Generation with Equivariant MultiFlow
di: Rubin, Dana, et al.
Pubblicazione: (2025)

Full-Atom Peptide Design based on Multi-modal Flow Matching
di: Li, Jiahan, et al.
Pubblicazione: (2024)

Branched Schrödinger Bridge Matching
di: Tang, Sophia, et al.
Pubblicazione: (2025)

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

Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models
di: He, Haonan, et al.
Pubblicazione: (2024)

PPFlow: Target-aware Peptide Design with Torsional Flow Matching
di: Lin, Haitao, et al.
Pubblicazione: (2024)

Flexible MOF Generation with Torsion-Aware Flow Matching
di: Kim, Nayoung, et al.
Pubblicazione: (2025)

Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization
di: Yu, Jiajun, et al.
Pubblicazione: (2025)

Flexibility-Conditioned Protein Structure Design with Flow Matching
di: Viliuga, Vsevolod, et al.
Pubblicazione: (2025)

Scaffold-Based Multi-Objective Drug Candidate Optimization
di: Kruel, Agustin, et al.
Pubblicazione: (2022)

Fast and Accurate Antibody Sequence Design via Structure Retrieval
di: Zhang, Xingyi, et al.
Pubblicazione: (2025)

FlowMol3: Flow Matching for 3D De Novo Small-Molecule Generation
di: Dunn, Ian, et al.
Pubblicazione: (2025)

AlphaFold Meets Flow Matching for Generating Protein Ensembles
di: Jing, Bowen, et al.
Pubblicazione: (2024)

Importance Weighted Expectation-Maximization for Protein Sequence Design
di: Song, Zhenqiao, et al.
Pubblicazione: (2023)

Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation
di: Dunn, Ian, et al.
Pubblicazione: (2024)

BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design
di: Vogt, Yannick, et al.
Pubblicazione: (2024)

Generative AI for Controllable Protein Sequence Design: A Survey
di: Zhu, Yiheng, et al.
Pubblicazione: (2024)

Generative Flows on Synthetic Pathway for Drug Design
di: Seo, Seonghwan, et al.
Pubblicazione: (2024)

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
di: Qiu, Jiahao, et al.
Pubblicazione: (2024)