Copertina

RecCrysFormer: Refined Protein Structural Prediction from 3D Patterson Maps via Recycling Training Runs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pan, Tom, Dramko, Evan, Miller, Mitchell D., Phillips Jr., George N., Kyrillidis, Anastasios
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Quantitative Methods Machine Learning Optimization and Control I.2.1
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Completion of partial structures using Patterson maps with the CrysFormer machine learning model
di: Pan, Tom, et al.
Pubblicazione: (2025)

On The Finetuning of MLIPs Through the Lens of Iterated Maps With BPTT
di: Dramko, Evan, et al.
Pubblicazione: (2025)

La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
di: Geffner, Tomas, et al.
Pubblicazione: (2025)

FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction
di: Morehead, Alex, et al.
Pubblicazione: (2024)

Synergistic Benefits of Joint Molecule Generation and Property Prediction
di: Izdebski, Adam, et al.
Pubblicazione: (2025)

Protein Folding with Neural Ordinary Differential Equations
di: Sanford, Arielle, et al.
Pubblicazione: (2025)

MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning
di: Mateus, Pedro, et al.
Pubblicazione: (2024)

Leveraging Retrieval-Augmented Generation and Large Language Models to Predict SERCA-Binding Protein Fragments from Cardiac Proteomics Data
di: Phillips, Taylor A, et al.
Pubblicazione: (2025)

Convergence Analysis of Two-Layer Neural Networks under Gaussian Input Masking
di: Kolomvaki, Afroditi, et al.
Pubblicazione: (2026)

Deciphering regulatory architectures from synthetic single-cell expression patterns
di: Pan, Rosalind Wenshan, et al.
Pubblicazione: (2024)

Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion
di: Morehead, Alex, et al.
Pubblicazione: (2023)

An AI Implementation Science Study to Improve Trustworthy Data in a Large Healthcare System
di: Marteau, Benoit L., et al.
Pubblicazione: (2025)

Training Compute-Optimal Protein Language Models
di: Cheng, Xingyi, et al.
Pubblicazione: (2024)

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

Statistical quantification of confounding bias in predictive modelling
di: Spisak, Tamas
Pubblicazione: (2021)

TemPL: A Novel Deep Learning Model for Zero-Shot Prediction of Protein Stability and Activity Based on Temperature-Guided Language Modeling
di: Tan, Pan, et al.
Pubblicazione: (2023)

ProtT-Affinity: Sequence-Based Protein-Protein Binding Affinity Prediction Using ProtT5 Embeddings
di: Lou, Hongfu
Pubblicazione: (2025)

Twin Peaks: Dual-Head Architecture for Structure-Free Prediction of Protein-Protein Binding Affinity and Mutation Effects
di: Dey, Supantha, et al.
Pubblicazione: (2025)

Mapping Differential Protein-Protein Interaction Networks using Affinity Purification Mass Spectrometry
di: Kaushal, Prashant, et al.
Pubblicazione: (2024)

CAP: Commutative Algebra Prediction of Protein-Nucleic Acid Binding Affinities
di: Zia, Mushal, et al.
Pubblicazione: (2025)

ProtSolM: Protein Solubility Prediction with Multi-modal Features
di: Tan, Yang, et al.
Pubblicazione: (2024)

RNA-Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey
di: Li, Danyu, et al.
Pubblicazione: (2024)

Domain-Aware Geometric Multimodal Learning for Multi-Domain Protein-Ligand Affinity Prediction
di: Zhang, Shuo, et al.
Pubblicazione: (2026)

Leveraging Machine Learning Models for Peptide-Protein Interaction Prediction
di: Yin, Song, et al.
Pubblicazione: (2023)

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

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
di: Gao, Ziqi, et al.
Pubblicazione: (2026)

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

Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps
di: Xin, et al.
Pubblicazione: (2024)

Predicting Protein-Nucleic Acid Flexibility Using Persistent Sheaf Laplacians
di: Hayes, Nicole, et al.
Pubblicazione: (2025)

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

When Many Trees Go to War: On Sets of Phylogenetic Trees With Almost No Common Structure
di: Weller, Mathias, et al.
Pubblicazione: (2025)

Towards Improved Short-term Hypoglycemia Prediction and Diabetes Management based on Refined Heart Rate Data
di: Gupta, Vaibhav, et al.
Pubblicazione: (2026)

The Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design
di: Armer, Chase, et al.
Pubblicazione: (2023)

Leveraging Protein Language Model Embeddings for Catalytic Turnover Prediction of Adenylate Kinase Orthologs in a Low-Data Regime
di: Muir, Duncan F., et al.
Pubblicazione: (2025)

STELLAR-koff: A Transfer Learning Model for Protein-Ligand Dissociation Rate Constant Prediction Based on Interaction Landscape
di: Li, Jingyuan
Pubblicazione: (2025)

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

Frequency-Space Mechanics: A Sequence and Coordinate-Free Representation for Protein Function Prediction
di: Reilly, Charles B
Pubblicazione: (2026)

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design
di: Seo, Hyunjin, et al.
Pubblicazione: (2026)

Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
di: Campbell, Andrew, et al.
Pubblicazione: (2024)

Conformal Prediction Under Feedback Covariate Shift for Biomolecular Design
di: Fannjiang, Clara, et al.
Pubblicazione: (2022)