Copertina

Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Puget, Chloé, Ganz, Jonathan, Ostermaier, Julian, Konrad, Thomas, Parlak, Eda, Bertram, Christof Albert, Kiupel, Matti, Breininger, Katharina, Aubreville, Marc, Klopfleisch, Robert
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Biomolecules Computer Vision and Pattern Recognition Machine Learning J.3
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Detection of residual native state entropy changes upon mutation in Fyn SH3
di: Lindorff-Larsen, Kresten, et al.
Pubblicazione: (2026)

Predicting mutational effects on protein binding from folding energy
di: Deng, Arthur, et al.
Pubblicazione: (2025)

DeepPNI: Language- and graph-based model for mutation-driven protein-nucleic acid energetics
di: Mondal, Somnath, et al.
Pubblicazione: (2025)

Applying computational protein design to therapeutic antibody discovery -- current state and perspectives
di: Bielska, Weronika, et al.
Pubblicazione: (2025)

MoRSAIK: Sequence Motif Reactor Simulation, Analysis and Inference Kit in Python
di: Harth-Kitzerow, Johannes, et al.
Pubblicazione: (2025)

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

ApexGen: Simultaneous design of peptide binder sequence and structure for target proteins
di: Xia, Xiaoqiong, et al.
Pubblicazione: (2025)

Metrology of Complexity and Implications for the Study of the Emergence of Life
di: Walker, Sara Imari
Pubblicazione: (2026)

SeedProteo: Accurate De Novo All-Atom Design of Protein Binders
di: Qu, Wei, et al.
Pubblicazione: (2025)

Topological Enhancement of Protein Kinetic Stability
di: Especial, João NC, et al.
Pubblicazione: (2026)

An RNA condensate model for the origin of life
di: Fine, Jacob L., et al.
Pubblicazione: (2024)

Predicting protein folding dynamics using sequence information
di: Galpern, Ezequiel A., et al.
Pubblicazione: (2025)

TumorHoPe2: An updated database for Tumor Homing Peptides
di: Kashyap, Diksha, et al.
Pubblicazione: (2025)

p2smi: A Python Toolkit for Peptide FASTA-to-SMILES Conversion and Molecular Property Analysis
di: Feller, Aaron L., et al.
Pubblicazione: (2025)

A review of DNA restriction-free overlapping sequence cloning techniques for synthetic biology
di: Bomfiglio, Isabella Frighetto, et al.
Pubblicazione: (2025)

Ligand Pose Generation via QUBO-Based Hotspot Sampling and Geometric Triplet Matching
di: Yang, Pei-Kun
Pubblicazione: (2025)

Inferring protein folding mechanisms from natural sequence diversity
di: Galpern, Ezequiel A., et al.
Pubblicazione: (2024)

Leveraging Conformational Diversity for Enhanced Structure-Based Virtual Screening: Insights from Molecular Dynamics Simulations of HIV-1 Protease-Ligand Complexes
di: Yang, Pei-Kun
Pubblicazione: (2025)

Breaking the picomolar barrier in lateral flow assays using Bright-Dtech___ 614 -- Europium nanoparticles for enhanced sensitivity
di: Lajoux, Juliette, et al.
Pubblicazione: (2025)

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives
di: Zhang, Yanzi, et al.
Pubblicazione: (2025)

QUBODock: A Pip-Installable QUBO Tool for Ligand Pose Generation
di: Yang, Pei-Kun
Pubblicazione: (2025)

Decoding Polyphenol-Protein Interactions with Deep Learning: From Molecular Mechanisms to Food Applications
di: Liu, Qiang, et al.
Pubblicazione: (2025)

RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
di: Ma, Runze, et al.
Pubblicazione: (2025)

A universal phase-plane model for in vivo protein aggregation
di: Cotton, Matthew W., et al.
Pubblicazione: (2025)

Guiding Generative Protein Language Models with Reinforcement Learning
di: Stocco, Filippo, et al.
Pubblicazione: (2024)

SeedFold: Scaling Biomolecular Structure Prediction
di: Zhou, Yi, et al.
Pubblicazione: (2025)

ViraHinter: a dual-modal artificial intelligence framework for predicting virus-host interactions
di: Bai, Weiqiang, et al.
Pubblicazione: (2026)

Latent-Y: A Lab-Validated Autonomous Agent for De Novo Drug Design
di: Latent Labs Team, et al.
Pubblicazione: (2026)

Undesignable RNA Structure Identification via Rival Structure Generation and Structure Decomposition
di: Zhou, Tianshuo, et al.
Pubblicazione: (2023)

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

Joint Design of 5' Untranslated Region and Coding Sequence of mRNA
di: Liu, Yang, et al.
Pubblicazione: (2024)

Persistent Directed Flag Laplacian (PDFL)-Based Machine Learning for Protein-Ligand Binding Affinity Prediction
di: Zia, Mushal, et al.
Pubblicazione: (2024)

Into the Unknown: From Structure to Disorder in Protein Function Prediction
di: Kolarić, Đesika, et al.
Pubblicazione: (2025)

Downregulation of aquaporin 3 promotes hyperosmolarity-induced apoptosis of nucleus pulposus cells through PI3K/Akt/mTOR pathway suppression
di: Sang, Yuan, et al.
Pubblicazione: (2025)

Machine learning framework to predict the performance of lipid nanoparticles for nucleic acid delivery
di: Kumar, Gaurav, et al.
Pubblicazione: (2024)

Cation-DNA outer sphere coordination in DNA polymorphism
di: Zubova, Elena A., et al.
Pubblicazione: (2025)

DL4Proteins Jupyter Notebooks Teach how to use Artificial Intelligence for Biomolecular Structure Prediction and Design
di: Chungyoun, Michael, et al.
Pubblicazione: (2025)

STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding
di: Xiao, Hongwang, et al.
Pubblicazione: (2025)

MP2D: Constrained Monte Carlo Tree-Guided Diffusion for Multi-Objective Protein Sequence Design
di: Kong, Zitai, et al.
Pubblicazione: (2026)

Unavailability of experimental 3D structural data on protein folding dynamics and necessity for a new generation of structure prediction methods in this context
di: Wells, Aydin, et al.
Pubblicazione: (2025)