Copertina

Transformers for molecular property prediction: Lessons learned from the past five years

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sultan, Afnan, Sieg, Jochen, Mathea, Miriam, Volkamer, Andrea
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computation and Language Quantitative Methods
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Transformers for molecular property prediction: Domain adaptation efficiently improves performance
di: Sultan, Afnan, et al.
Pubblicazione: (2025)

Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers
di: Abdine, Hadi, et al.
Pubblicazione: (2023)

Impact of automatic speech recognition quality on Alzheimer's disease detection from spontaneous speech: a reproducible benchmark study with lexical modeling and statistical validation
di: Samanta, Himadri S
Pubblicazione: (2026)

HIGHT: Hierarchical Graph Tokenization for Molecule-Language Alignment
di: Chen, Yongqiang, et al.
Pubblicazione: (2024)

Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases
di: Yang, Yumeng, et al.
Pubblicazione: (2024)

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts
di: Li, Jiatong, et al.
Pubblicazione: (2024)

MolBind: Multimodal Alignment of Language, Molecules, and Proteins
di: Xiao, Teng, et al.
Pubblicazione: (2024)

Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks
di: Chen, Zizhang, et al.
Pubblicazione: (2024)

Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs
di: Kearney, Sophie, et al.
Pubblicazione: (2025)

Few-Shot Large Language Models for Actionable Triage Categorization of Online Patient Inquiries
di: Zhou, Liqi, et al.
Pubblicazione: (2026)

Enhancing TCR-Peptide Interaction Prediction with Pretrained Language Models and Molecular Representations
di: Qi, Cong, et al.
Pubblicazione: (2025)

Integrating Single-Cell Foundation Models with Graph Neural Networks for Drug Response Prediction
di: Rossner, Till, et al.
Pubblicazione: (2025)

A Novel Recurrent Neural Network Framework for Prediction and Treatment of Oncogenic Mutation Progression
di: Parthasarathy, Rishab, et al.
Pubblicazione: (2025)

A Systematic Review on the Generative AI Applications in Human Medical Genomics
di: Changalidis, Anton, et al.
Pubblicazione: (2025)

Geometric Stability: The Missing Axis of Representations
di: Raju, Prashant C.
Pubblicazione: (2026)

VenusX: Unlocking Fine-Grained Functional Understanding of Proteins
di: Tan, Yang, et al.
Pubblicazione: (2025)

Statistical NLP for Optimization of Clinical Trial Success Prediction in Pharmaceutical R&D
di: Doane, Michael R.
Pubblicazione: (2025)

Rep3Net: An Approach Exploiting Multimodal Representation for Molecular Bioactivity Prediction
di: Islam, Sabrina, et al.
Pubblicazione: (2025)

Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data
di: Kearney, Sophie, et al.
Pubblicazione: (2026)

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
di: Liu, Shengchao, et al.
Pubblicazione: (2022)

Active learning for affinity prediction of antibodies
di: Gessner, Alexandra, et al.
Pubblicazione: (2024)

CPE-Pro: A Structure-Sensitive Deep Learning Method for Protein Representation and Origin Evaluation
di: Gou, Wenrui, et al.
Pubblicazione: (2024)

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions
di: Ngo, Tung-Lam, et al.
Pubblicazione: (2025)

Compositional Deep Probabilistic Models of DNA Encoded Libraries
di: Chen, Benson, et al.
Pubblicazione: (2023)

Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
di: Adrian, Matthew, et al.
Pubblicazione: (2025)

Precision psychiatry: predicting predictability
di: van Dellen, Edwin
Pubblicazione: (2023)

Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors
di: Lammert, Jacqueline, et al.
Pubblicazione: (2024)

SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation
di: He, Liang, et al.
Pubblicazione: (2024)

A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding
di: Shen, Yiqing, et al.
Pubblicazione: (2024)

Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research
di: Liu, Tianyu, et al.
Pubblicazione: (2024)

A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe
di: Aburass, Sanad, et al.
Pubblicazione: (2023)

nach0: Multimodal Natural and Chemical Languages Foundation Model
di: Livne, Micha, et al.
Pubblicazione: (2023)

CellForge: Agentic Design of Virtual Cell Models
di: Tang, Xiangru, et al.
Pubblicazione: (2025)

DrugAssist: A Large Language Model for Molecule Optimization
di: Ye, Geyan, et al.
Pubblicazione: (2023)

AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting
di: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Pubblicazione: (2026)

DrugR: Optimizing Molecular Drugs through LLM-based Explicit Reasoning
di: Liu, Haoran, et al.
Pubblicazione: (2026)

HypoGeneAgent: A Hypothesis Language Agent for Gene-Set Cluster Resolution Selection Using Perturb-seq Datasets
di: Yuan, Ying, et al.
Pubblicazione: (2025)

mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules
di: Edwards, Carl, et al.
Pubblicazione: (2025)

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
di: Xu, Ran, et al.
Pubblicazione: (2023)

Automated Hypothesis Validation with Agentic Sequential Falsifications
di: Huang, Kexin, et al.
Pubblicazione: (2025)