Copertina

Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lu, Jiarui, Zhong, Bozitao, Zhang, Zuobai, Tang, Jian
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Quantitative Methods Machine Learning Biomolecules
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations
di: Lu, Jiarui, et al.
Pubblicazione: (2024)

DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
di: Zhang, Yangtian, et al.
Pubblicazione: (2023)

Exploring zero-shot structure-based protein fitness prediction
di: Sharma, Arnav, et al.
Pubblicazione: (2025)

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

ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution
di: Cheng, Lixue, et al.
Pubblicazione: (2022)

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

Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
di: Liu, Xiaokun, et al.
Pubblicazione: (2025)

Improving Protein Optimization with Smoothed Fitness Landscapes
di: Kirjner, Andrew, et al.
Pubblicazione: (2023)

Protein Fold Classification at Scale: Benchmarking and Pretraining
di: Chen, Dexiong, et al.
Pubblicazione: (2026)

Endowing Protein Language Models with Structural Knowledge
di: Chen, Dexiong, et al.
Pubblicazione: (2024)

Conditioning Protein Generation via Hopfield Pattern Multiplicity
di: Varner, Jeffrey D.
Pubblicazione: (2026)

Towards a Unified Framework for Determining Conformational Ensembles of Disordered Proteins
di: Ghafouri, Hamidreza, et al.
Pubblicazione: (2025)

Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction
di: Weitzman, Ruben, et al.
Pubblicazione: (2025)

TriFit: Trimodal Fusion with Protein Dynamics for Mutation Fitness Prediction
di: Cho, Seungik
Pubblicazione: (2026)

Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
di: Lee, Minji, et al.
Pubblicazione: (2024)

Improving Antibody Design with Force-Guided Sampling in Diffusion Models
di: Kulytė, Paulina, et al.
Pubblicazione: (2024)

General Protein Pretraining or Domain-Specific Designs? Benchmarking Protein Modeling on Realistic Applications
di: Yan, Shuo, et al.
Pubblicazione: (2025)

Scoring-Assisted Generative Exploration for Proteins (SAGE-Prot): A Framework for Multi-Objective Protein Optimization via Iterative Sequence Generation and Evaluation
di: Lim, Hocheol, et al.
Pubblicazione: (2025)

DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
di: Schwarz, Kyriakos, et al.
Pubblicazione: (2022)

MicroFuse: Protein-to-Genome Expert Fusion for Microbial Operon Reasoning
di: Cho, Seungik
Pubblicazione: (2026)

Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning
di: Zhang, Jiayang, et al.
Pubblicazione: (2025)

ProteinBench: A Holistic Evaluation of Protein Foundation Models
di: Ye, Fei, et al.
Pubblicazione: (2024)

NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language Models
di: Sakano, Koh, et al.
Pubblicazione: (2024)

End-to-End Reaction Field Energy Modeling via Deep Learning based Voxel-to-voxel Transform
di: Wu, Yongxian, et al.
Pubblicazione: (2024)

Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
di: Ünlü, Atabey, et al.
Pubblicazione: (2023)

Accurate RNA 3D structure prediction using a language model-based deep learning approach
di: Shen, Tao, et al.
Pubblicazione: (2022)

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
di: Wang, Yongkang, et al.
Pubblicazione: (2023)

Characterizing the Conformational States of G Protein Coupled Receptors Generated with AlphaFold
di: Chib, Garima, et al.
Pubblicazione: (2025)

RNAGenScape: Property-Guided, Optimized Generation of mRNA Sequences with Manifold Langevin Dynamics
di: Liao, Danqi, et al.
Pubblicazione: (2025)

Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions
di: Sun, Rui, et al.
Pubblicazione: (2024)

Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
di: Wang, Zhiwei, et al.
Pubblicazione: (2024)

IgCraft: A versatile sequence generation framework for antibody discovery and engineering
di: Greenig, Matthew, et al.
Pubblicazione: (2025)

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
di: Liu, Zhiyuan, et al.
Pubblicazione: (2025)

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

Evolutionary Profiles for Protein Fitness Prediction
di: Fan, Jigang, et al.
Pubblicazione: (2025)

SafeProtein: Red-Teaming Framework and Benchmark for Protein Foundation Models
di: Fan, Jigang, et al.
Pubblicazione: (2025)

Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design
di: Chadi, Mohamed-Amine, et al.
Pubblicazione: (2023)

Is novelty predictable?
di: Fannjiang, Clara, et al.
Pubblicazione: (2023)

gRNAde: Geometric Deep Learning for 3D RNA inverse design
di: Joshi, Chaitanya K., et al.
Pubblicazione: (2023)

RetroBridge: Modeling Retrosynthesis with Markov Bridges
di: Igashov, Ilia, et al.
Pubblicazione: (2023)