Copertina

Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jackson, David, Gertz, Michael, Hesser, Jürgen
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Biomolecules Artificial Intelligence Computational Engineering, Finance, and Science Information Retrieval Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions
di: Jiao, Xiaoran, et al.
Pubblicazione: (2024)

ProtChatGPT: Towards Understanding Proteins with Large Language Models
di: Wang, Chao, et al.
Pubblicazione: (2024)

Effective Protein-Protein Interaction Exploration with PPIretrieval
di: Hua, Chenqing, et al.
Pubblicazione: (2024)

ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
di: Xiao, Yijia, et al.
Pubblicazione: (2024)

JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs
di: Ding, Wanying, et al.
Pubblicazione: (2024)

Aligning Large Language Models and Geometric Deep Models for Protein Representation
di: Shu, Dong, et al.
Pubblicazione: (2024)

AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation
di: Liu, Lijun, et al.
Pubblicazione: (2024)

DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs
di: Liu, Jinzhe, et al.
Pubblicazione: (2024)

Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease
di: de Lope, Elisa Gómez, et al.
Pubblicazione: (2024)

A Hierarchical Adaptive Diffusion Model for Flexible Protein-Protein Docking
di: Yin, Rujie, et al.
Pubblicazione: (2025)

CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
di: Wasi, Azmine Toushik, et al.
Pubblicazione: (2024)

ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing
di: Lv, Liuzhenghao, et al.
Pubblicazione: (2024)

Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications
di: Lu, Yuxing, et al.
Pubblicazione: (2025)

Protein Large Language Models: A Comprehensive Survey
di: Xiao, Yijia, et al.
Pubblicazione: (2025)

Zero-Shot 3D Drug Design by Sketching and Generating
di: Long, Siyu, et al.
Pubblicazione: (2022)

CMADiff: Cross-Modal Aligned Diffusion for Controllable Protein Generation
di: Zhou, Changjian, et al.
Pubblicazione: (2025)

Dihedral Angle Adherence: Evaluating Protein Structure Predictions in the Absence of Experimental Data
di: Azeem, Musa, et al.
Pubblicazione: (2024)

PILOT: Equivariant diffusion for pocket conditioned de novo ligand generation with multi-objective guidance via importance sampling
di: Cremer, Julian, et al.
Pubblicazione: (2024)

PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
di: Zhang, Ruochi, et al.
Pubblicazione: (2024)

Precise Antigen-Antibody Structure Predictions Enhance Antibody Development with HelixFold-Multimer
di: Gao, Jie, et al.
Pubblicazione: (2024)

Preference optimization of protein language models as a multi-objective binder design paradigm
di: Mistani, Pouria, et al.
Pubblicazione: (2024)

ACP-ESM: A novel framework for classification of anticancer peptides using protein-oriented transformer approach
di: Kilimci, Zeynep Hilal, et al.
Pubblicazione: (2024)

CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
di: Zhou, Yi, et al.
Pubblicazione: (2024)

FinMetaMind: A Tech Blueprint on NLQ Systems for Financial Knowledge Search
di: Pant, Lalit, et al.
Pubblicazione: (2026)

Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval
di: Min, Zijun, et al.
Pubblicazione: (2024)

Aligning Proteins and Language: A Foundation Model for Protein Retrieval
di: Wu, Qifeng, et al.
Pubblicazione: (2025)

Metadata-Driven Retrieval-Augmented Generation for Financial Question Answering
di: Dadopoulos, Michail, et al.
Pubblicazione: (2025)

AutoIE: An Automated Framework for Information Extraction from Scientific Literature
di: Liu, Yangyang, et al.
Pubblicazione: (2024)

FinCPRG: A Bidirectional Generation Pipeline for Hierarchical Queries and Rich Relevance in Financial Chinese Passage Retrieval
di: Xu, Xuan, et al.
Pubblicazione: (2025)

RNA-GPT: Multimodal Generative System for RNA Sequence Understanding
di: Xiao, Yijia, et al.
Pubblicazione: (2024)

Gradient GA: Gradient Genetic Algorithm for Drug Molecular Design
di: Zhuang, Chris, et al.
Pubblicazione: (2025)

Computational Protein Science in the Era of Large Language Models (LLMs)
di: Fan, Wenqi, et al.
Pubblicazione: (2025)

Empirical Evidence for the Fragment level Understanding on Drug Molecular Structure of LLMs
di: Hu, Xiuyuan, et al.
Pubblicazione: (2024)

De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
di: Hu, Xiuyuan, et al.
Pubblicazione: (2023)

Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks
di: Wang, Xinyu, et al.
Pubblicazione: (2025)

Automating MD simulations for Proteins using Large language Models: NAMD-Agent
di: Chandrasekhar, Achuth, et al.
Pubblicazione: (2025)

Text-Guided Molecule Generation with Diffusion Language Model
di: Gong, Haisong, et al.
Pubblicazione: (2024)

Scaffold Splits Overestimate Virtual Screening Performance
di: Guo, Qianrong, et al.
Pubblicazione: (2024)

AbBiBench: A Benchmark for Antibody Binding Affinity Maturation and Design
di: Zhao, Xinyan, et al.
Pubblicazione: (2025)

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
di: Pei, Qizhi, et al.
Pubblicazione: (2024)