Image de couverture de livre

Characterizing the Conformational States of G Protein Coupled Receptors Generated with AlphaFold

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chib, Garima, Mollaei, Parisa, Farimani, Amir Barati
Format:	Preprint
Publié:	2025
Sujets:	Quantitative Methods Biomolecules
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Protein Structure-Function Relationship: A Kernel-PCA Approach for Reaction Coordinate Identification
par: Mollaei, Parisa, et autres
Publié: (2025)

Rapid response to fast viral evolution using AlphaFold 3-assisted topological deep learning
par: Wee, JunJie, et autres
Publié: (2024)

Benchmarking AlphaFold3's protein-protein complex accuracy and machine learning prediction reliability for binding free energy changes upon mutation
par: Wee, JunJie, et autres
Publié: (2024)

Towards a Unified Framework for Determining Conformational Ensembles of Disordered Proteins
par: Ghafouri, Hamidreza, et autres
Publié: (2025)

IDP-Bert: Predicting Properties of Intrinsically Disordered Proteins (IDP) Using Large Language Models
par: Mollaei, Parisa, et autres
Publié: (2024)

Protein Fold Classification at Scale: Benchmarking and Pretraining
par: Chen, Dexiong, et autres
Publié: (2026)

mRNA Folding Algorithms for Structure and Codon Optimization
par: Ward, Max, et autres
Publié: (2025)

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

AntiFold: Improved antibody structure-based design using inverse folding
par: Høie, Magnus Haraldson, et autres
Publié: (2024)

Conformational landscapes in cryo-ET data based on MD simulations
par: Jonic, Slavica
Publié: (2026)

Persistent Sheaf Laplacian Analysis of Protein Flexibility
par: Hayes, Nicole, et autres
Publié: (2025)

Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations
par: Lu, Jiarui, et autres
Publié: (2024)

Impact of Force Field Polarization on Correlated Motions of Proteins
par: Milinski, Ana, et autres
Publié: (2025)

Leveraging Machine Learning Models for Peptide-Protein Interaction Prediction
par: Yin, Song, et autres
Publié: (2023)

Predicting Protein-Nucleic Acid Flexibility Using Persistent Sheaf Laplacians
par: Hayes, Nicole, et autres
Publié: (2025)

VARIANT: Web Server for Decoding and Analyzing Viral Mutations at Genome and Protein Levels
par: Wang, Rui, et autres
Publié: (2026)

LAFA: A Framework for Reproducible Longitudinal Assessment of Protein Function Annotation Models
par: Phan, An, et autres
Publié: (2026)

Protein folding classes -- High-dimensional geometry of amino acid composition space revisited
par: Mao, Boryeu
Publié: (2025)

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

Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
par: Lu, Jiarui, et autres
Publié: (2023)

Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties
par: Badrinarayanan, Srivathsan, et autres
Publié: (2024)

Differentiable Folding for Nearest Neighbor Model Optimization
par: Krueger, Ryan K., et autres
Publié: (2025)

Network Pharmacology Framework Characterizes Polypharmacological Properties of Dietary Flavonoids: Integration of Computational, Experimental, and Epidemiological Evidence
par: Fujisaki, Koyo, et autres
Publié: (2026)

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

Protein-Mamba: Biological Mamba Models for Protein Function Prediction
par: Xu, Bohao, et autres
Publié: (2024)

HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold3
par: Gao, Jie, et autres
Publié: (2025)

Improving Protein Optimization with Smoothed Fitness Landscapes
par: Kirjner, Andrew, et autres
Publié: (2023)

Endowing Protein Language Models with Structural Knowledge
par: Chen, Dexiong, et autres
Publié: (2024)

Canonicalization of the E value from BLAST similarity search -- dissimilarity measure and distance function for a metric space of protein sequences
par: Mao, Boryeu
Publié: (2025)

HelixVS: Deep Learning-Enhanced Structure-Based Platform for Screening and Design
par: Zhang, Shanzhuo, et autres
Publié: (2025)

EscalNet: Learn isotropic representation space for biomolecular dynamics based on effective energy
par: Zuo, Guanghong
Publié: (2025)

Two for the Price of One: Integrating Large Language Models to Learn Biophysical Interactions
par: Clark, Joseph D., et autres
Publié: (2025)

Quantification of protein homodimer affinity using native mass spectrometry
par: Schulte, Jonathan, et autres
Publié: (2025)

Marginal Girsanov Reweighting: Stable Variance Reduction for Long-Timescale Dynamics from Biased Simulation
par: Wang, Yan, et autres
Publié: (2025)

GoForth: Language Models for RNA Design under Structure, Sequence, and Coding Constraints
par: Lindsey, Michael
Publié: (2026)

Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions
par: Ferri, Francesco, et autres
Publié: (2024)

Benchmarking structure-based three-dimensional molecular generative models using GenBench3D: ligand conformation quality matters
par: Baillif, Benoit, et autres
Publié: (2024)

Raman Spectroscopy Reveals Photobiomodulation-Induced α-Helix to β-Sheet Transition in Tubulins: Potential Implications for Alzheimer's and Other Neurodegenerative Diseases
par: Di Gregorio, Elisabetta, et autres
Publié: (2023)

Quantifying the uncertainty of molecular dynamics simulations : Good-Turing statistics revisited
par: Tsampazi, Vasiliki, et autres
Publié: (2026)

Combining oligo pools and Golden Gate cloning to create protein variant libraries or guide RNA libraries for CRISPR applications
par: Valero, Alicia Maciá, et autres
Publié: (2024)