日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Integration of alternative fragmentation techniques into standard LC-MS workflows using a single deep learning model enhances proteome coverage

将多种碎片化技术整合到标准LC-MS工作流程中,并采用单一深度学习模型,可提高蛋白质组覆盖率。

Levin, Nikita; Saylan, Cemil Can; Lapin, Joel; Demyanenko, Yana; Yang, Kevin L; Sidda, John; Nesvizhskii, Alexey I; Wilhelm, Mathias; Mohammed, Shabaz

Prosit-XL: enhanced cross-linked peptide identification by fragment intensity prediction to study protein interactions and structures

Prosit-XL:通过片段强度预测增强交联肽的鉴定,以研究蛋白质相互作用和结构

Kalhor, Mostafa; Saylan, Cemil Can; Picciani, Mario; Fischer, Lutz; Schimweg, Falk Boudewijn; Lapin, Joel; Rappsilber, Juri; Wilhelm, Mathias

Integrating Alternative Fragmentation Techniques into Standard LC-MS Workflows Using a Single Deep Learning Model Enhances Proteome Coverage

利用单一深度学习模型将替代碎片化技术整合到标准LC-MS工作流程中,可提高蛋白质组覆盖率

Levin, Nikita; Saylan, Cemil Can; Lapin, Joel; Demyanenko, Yana; Yang, Kevin L; Sidda, John; Nesvizhskii, Alexey I; Wilhelm, Mathias; Mohammed, Shabaz

Depolymerization of actin filaments by Cucurbitacin I through binding G-actin.

葫芦素 I 通过与 G-肌动蛋白结合,使肌动蛋白丝解聚

Haciosmanoglu Aldogan Ebru, Önsü Kemal Alper, Saylan Cemil Can, Günçer Başak, Baday Sefer, Bektaş Muhammet