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Presentations and Events at ASMS 2025

Talus Bio Presentations

Session Title Presenter
MP 224 Evaluating and optimizing transcription factor targets for a high‑throughput mass spectrometry‑based drug discovery platform Daniele Canzani
MP 225 Profiling anthracycline toxicity and mechanisms in pediatric tumors using high‑throughput proteomics Julia Robbins
TP 188 Timsbuktoolkit: Open‑source platform for on‑demand interactive peptide search on timsTOF DIA data Sebastian Paez
TP 198 Extending LOD/LOQ Estimation and Quantitative Benchmarking for High‑Throughput Proteomics Lindsay Pino
TP 244 TACTICIAN: A Hierarchical Linear Model for Identifying Functional Hits, Target Engagement, and Combined Hits in Proteomics‑Driven Drug Discovery Lilly Tatka
TP 510 O Peptide Where Art Thou: A Recommender System to Find Missing Peptides Between Runs Will Fondrie
WOH am 09:10 High‑Throughput Quantification of Chromatin‑Associated Proteins to Advance Neuroblastoma Therapeutic Discovery Andrea Gutierrez
ThP 289 Enhancing an AI‑Driven Proteomics Drug Discovery Engine with Scalable Metadata Collection Anastasiya Prymolenna

Other Events

Event Title Organizers
Short Course 05 Machine Learning for Mass Spectrometry Data Analysis Will Fondrie
Monday Workshop 03 Chemoproteomics: The Next Frontier for Drug Development (and More) Lindsay Pino
Tuesday Workshop 01 De Novo Peptide Sequencing: Ready For Prime Time? Will Fondrie
Wednesday Workshop 10 Entrepreneurship in Mass Spectrometry: Non‑Traditional Pathways for Scientific Innovation Lindsay Pino
Wednesday Workshop 02 The Interface of Biomarker Discovery, Clinical Algorithm Development and Regulatory Oversight Will Fondrie

Presentations and Events at ASMS 2024

Talus Bio Presentations

Session Title Presenter
EvoSep User Meeting High-Throughput Analysis of Transcription Factors Using 96-well Cell Culture, Drug Treatment, and Subcellular Fractionation Julia Robbins
Bruker eXceed Symposia Multiomics solutions for the post-genomic era: Proteomics Breakout Session “Profiling oncogenic transcription factors using mass spectrometry proteomics Lindsay Pino
MOG The Screen’s Gambit: Functional Chemoproteomics Accelerated by Compressed Sensing and Generative Models Will Fondrie
MOH Keep your friends close: Neighborhood based clustering for feature extraction in diaPASEF data Sebastian Paez
WOF Developing and optimizing mass spectrometry methods to improve detection of covalently modified peptides in complex lysates Lindsay Pino
ThOH TF-Scan: A high-throughput proteomics platform for transcription factor drug discovery Daniele Canzani
MP 070 Evaluating mass spectrometry strategies for deep proteome profiling with subcellular fractionation Andrea Gutierrez
TP 703 From seeding to separation: a 96-well format sample preparation protocol for cell-based high throughput proteomics Julia Robbins

Collaborator Presentations

Session Title Presenter
ThP 055 Improved de novo peptide sequencing with higher quality training data Melih Yilmaz
ThP 785 ThP 785 The Association of Biomolecular Resource Facilities Proteomics Standards Research Group (sPRG) Multi-Species Standard to Assist Quantitative Proteomics Susan Weintraub

Other Events

Event Title Organizers
Short Course 04 Machine Learning for Mass Spectrometry Data Analysis Wout Bittremieux, Will Fondrie
Tuesday Workship 06 De Novo Peptide Sequencing Breakthroughs & Challenges Melih Yilmaz, Konstantinos Kalogeropoulos, Wout Bittremieux, Will Fondrie, K. Eloff, Timothy Patrick Jenkins, A. Mabona, Bill Noble

Presentations and Events at ASMS 2023

Talus Bio Presentations

Session Title Presenter
Skyline UGM How sweet it is: Leveraging the nuclear envelope glycome for the automated extraction of proteins from cell nuclei Julia Robbins
TOD Library-free analysis of DIA experiments using a feature-centric approach Sebastian Paez
WOC Simultaneous In situ Pharmacological Profiling of Transcription Factors for Cancer Therapy Lindsay Pino
MP 144 An atlas of reactive and functional chromatin-associated cysteines in cancer Daniele Canzani
MP 389 Gopher: Fast Gene Ontology Enrichment Analysis for Quantitative Proteomic Data Carolyn Allen
MP 586 Characterizing the effects of kinase inhibitors on the phosphorylation of transcription factors using subcellular fractionation Andrea Gutierrez
TP 043 Diving deeper with depthcharge: A transformer deep learning framework for modeling mass spectrometry data Will Fondrie
ThP 679 How sweet it is: Leveraging the nuclear envelope glycome for the automated extraction of proteins from cell nuclei Julia Robbins

Collaborator Presentations

Session Title Presenter
WOD Sequence-to-sequence translation from mass spectra to peptides with a transformer model Melih Yilmaz
MP 192 The Neuropeptide Neuroparsin-A Regulates Caretaking Behavior in Leafcutter Ants Michael Gilbert
MP 369 Crema: an open-source Python tool for target-decoy false discovery rate estimation Andy Lin

Other Events

Event Title Organizers
Short Course 08 Machine Learning for Mass Spectrometry Data Analysis Wout Bittremieux, Will Fondrie
Monday Workshop 17 Using Casanovo for de novo peptide sequencing Melih Yilmaz, William Noble, Will Fondrie
Tuesday Workshop 07 Data Independent Acquisition: After the Acquisition Lindsay Pino, Lukas Reiter