Patroklos Samaras

About Patroklos Samaras

Patroklos Samaras, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Bioinformatics, Machine Learning, Algorithms, Data science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Chemical proteomics reveals the target landscape of 1,000 kinase inhibitors

Decrypting drug actions and protein modifications by dose-and time-resolved proteomics

Mass spectrometry-based draft of the mouse proteome

High temporal resolution proteome and phosphoproteome profiling of stem cell-derived hepatocyte development

ProteomicsDB: toward a FAIR open-source resource for life-science research

Reanalysis of ProteomicsDB using an accurate, sensitive, and scalable false discovery rate estimation approach for protein groups

An AI-driven leap forward in peptide identification through the deconvolution of chimeric spectra

A proteomics sample metadata representation for multiomics integration and big data analysis

Patroklos Samaras Information

University

Position

PhD Candidate @ Chair of Proteomics and Bioanalytics

Citations(all)

2231

Citations(since 2020)

2196

Cited By

527

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

18

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Patroklos Samaras Skills & Research Interests

Bioinformatics

Machine Learning

Algorithms

Data science

Top articles of Patroklos Samaras

Chemical proteomics reveals the target landscape of 1,000 kinase inhibitors

Nature Chemical Biology

2023/10/30

Decrypting drug actions and protein modifications by dose-and time-resolved proteomics

Science

2023/4/7

High temporal resolution proteome and phosphoproteome profiling of stem cell-derived hepatocyte development

Cell reports

2022/3/29

Patroklos Samaras
Patroklos Samaras

H-Index: 8

Mathias Wilhelm
Mathias Wilhelm

H-Index: 23

Reanalysis of ProteomicsDB using an accurate, sensitive, and scalable false discovery rate estimation approach for protein groups

Molecular & Cellular Proteomics

2022/12/1

An AI-driven leap forward in peptide identification through the deconvolution of chimeric spectra

2022/8/1

A microservice-based reference architecture for digital platforms in the proteomics domain

2021

Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics

Nature communications

2021/6/7

Universal spectrum explorer: a standalone (web-) application for cross-resource spectrum comparison

Journal of proteome research

2021/5/10

CHIMERYS: An AI-Driven Leap Forward in Peptide Identification

the 69th ASMS Conference on Mass Spectrometry and Allied Topics

2021

Proteomic and transcriptomic profiling of aerial organ development in Arabidopsis

Scientific Data

2020/10/9

Proteome activity landscapes of tumor cell lines determine drug responses

Nature communications

2020/7/20

Meltome atlas—thermal proteome stability across the tree of life

Nature methods

2020/5

ProteomicsDB: a multi-omics and multi-organism resource for life science research

Nucleic acids research

2020/1/8

Multi-omics data integration and data model optimization in ProteomicsDB

2020

See List of Professors in Patroklos Samaras University(Technische Universität München)

Co-Authors

academic-engine