Cover Image

General Intelligence-based Fragmentation (GIF): A framework for peak-labeled spectra simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Martin, Margaret R., Hassoun, Soha
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

JESTR: Joint Embedding Space Technique for Ranking Candidate Molecules for the Annotation of Untargeted Metabolomics Data
by: Kalia, Apurva, et al.
Published: (2024)

Large Language Model is Secretly a Protein Sequence Optimizer
by: Wang, Yinkai, et al.
Published: (2025)

NEUBORN: The Neurodevelopmental Evolution framework Using BiOmechanical RemodelliNg
by: Baena, Nashira, et al.
Published: (2025)

MCP-AI: Protocol-Driven Intelligence Framework for Autonomous Reasoning in Healthcare
by: ElSayed, Zag, et al.
Published: (2025)

GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console
by: Nath, Anindita, et al.
Published: (2024)

Climbing the label tree: Hierarchy-preserving contrastive learning for medical imaging
by: Khan, Alif Elham
Published: (2025)

Adapting Differential Molecular Representation with Hierarchical Prompts for Multi-label Property Prediction
by: Kang, Linjia, et al.
Published: (2024)

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
by: Wu, Jiele, et al.
Published: (2026)

Mantis: A Foundation Model for Mechanistic Disease Forecasting
by: Dudley, Carson, et al.
Published: (2025)

Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity
by: Pillai, Nisha, et al.
Published: (2024)

Co-Generative De Novo Functional Protein Design
by: Chen, Xinrui, et al.
Published: (2026)

Pharmacophore-Guided Generative Design of Novel Drug-Like Molecules
by: Podplutova, Ekaterina, et al.
Published: (2025)

Generation of structure-guided pMHC-I libraries using Diffusion Models
by: Mares, Sergio, et al.
Published: (2025)

BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology
by: Mitchener, Ludovico, et al.
Published: (2025)

stEnTrans: Transformer-based deep learning for spatial transcriptomics enhancement
by: Xue, Shuailin, et al.
Published: (2024)

Transformer-based de novo peptide sequencing for data-independent acquisition mass spectrometry
by: Ebrahimi, Shiva, et al.
Published: (2024)

NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics
by: Zhou, Jingbo, et al.
Published: (2024)

LAMP-PRo: Label-aware Attention for Multi-label Prediction of DNA- and RNA-binding Proteins using Protein Language Models
by: Ghosh, Nimisha, et al.
Published: (2025)

Artificial Intelligence for Microbiology and Microbiome Research
by: Wang, Xu-Wen, et al.
Published: (2024)

DIA-CLIP: a universal representation learning framework for zero-shot DIA proteomics
by: Liao, Yucheng, et al.
Published: (2026)

Identifying Cocoa Pollinators: A Deep Learning Dataset
by: Xu, Wenxiu, et al.
Published: (2024)

Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer
by: Yang, Yongquan, et al.
Published: (2023)

Decoding Drug Discovery: Exploring A-to-Z In silico Methods for Beginners
by: Rasul, Hezha O., et al.
Published: (2024)

GeoPl@ntNet: A Platform for Exploring Essential Biodiversity Variables
by: Picek, Lukas, et al.
Published: (2025)

A Universal Space of Brain Dynamics for Unveiling Cognitive Transitions and Individual Differences
by: Zheng, Ronghua, et al.
Published: (2026)

A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction
by: Xiang, Jinxi, et al.
Published: (2026)

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

A PBN-RL-XAI Framework for Discovering a "Hit-and-Run" Therapeutic Strategy in Melanoma
by: Liu, Zhonglin
Published: (2025)

ERDES: A Benchmark Video Dataset for Retinal Detachment and Macular Status Classification in Ocular Ultrasound
by: Ozkut, Yasemin, et al.
Published: (2025)

Biomarker Discovery with Quantum Neural Networks: A Case-study in CTLA4-Activation Pathways
by: Nguyen, Nam
Published: (2023)

BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging
by: Lei, Wanlu, et al.
Published: (2023)

ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway
by: Park, Jueon, et al.
Published: (2026)

A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning
by: Prasanna, Shivika, et al.
Published: (2024)

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment
by: Nasir, Esha Sadia, et al.
Published: (2025)

Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response
by: Baker, Christopher, et al.
Published: (2026)

The BEAT-CF Causal Model: A model for guiding the design of trials and observational analyses of cystic fibrosis exacerbations
by: Mascaro, Steven, et al.
Published: (2025)

fastbmRAG: A Fast Graph-Based RAG Framework for Efficient Processing of Large-Scale Biomedical Literature
by: Meng, Guofeng, et al.
Published: (2025)

MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation
by: Yang, Yehui, et al.
Published: (2026)

A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
by: Gabet, Adam, et al.
Published: (2026)

Artificial intelligence in drug discovery: A comprehensive review with a case study on hyperuricemia, gout arthritis, and hyperuricemic nephropathy
by: Su, Junwei, et al.
Published: (2025)