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Cemil Can Saylan

Showing results (1-10 of 9) with videos related to

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Journal of Molecular Modeling|January 23, 2024
Optimization of CHARMM force field parameters for ryanodine receptor inhibitory drug dantrolene using FFTK and FFParamSaliha Nur Uludag, Cemil Can Saylan, Adem Tekin, et al.
Bioinformatics Advances|May 1, 2023
CanIsoNet: a database to study the functional impact of isoform switching events in diseasesTülay Karakulak, Damian Szklarczyk, Cemil Can Saylan, et al.
Journal of Molecular Structure|July 28, 2021
The iron(III) and nickel(II) complexes with tetradentate thiosemicarbazones. Synthesis, experimental, theoretical characterization, and antiviral effect against SARS-CoV-2Belkis Atasever Arslan, Büşra Kaya, Onur Şahin, et al.
Food Science & Nutrition|February 19, 2024
Depolymerization of actin filaments by Cucurbitacin I through binding G-actinEbru Haciosmanoglu Aldogan, Kemal Alper Önsü, Cemil Can Saylan, et al.
The Tohoku Journal of Experimental Medicine|May 24, 2016
High Plasma Pentraxin 3 Levels in Diabetic Polyneuropathy Patients with Nociceptive PainCelal Salcini, Belkis Atasever-Arslan, Gulin Sunter, et al.
Nature Communications|July 1, 2025
Prosit-XL: enhanced cross-linked peptide identification by fragment intensity prediction to study protein interactions and structuresMostafa Kalhor, Cemil Can Saylan, Mario Picciani, et al.
F1000Research|February 9, 2022
Lessons from a ten-year-long journey: building a student-driven computational biology society across TurkeyYasin Kaya, Tülay Karakulak, Cemil Can Saylan, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2025
Integrating Alternative Fragmentation Techniques into Standard LC-MS Workflows Using a Single Deep Learning Model Enhances Proteome CoverageNikita Levin, Cemil Can Saylan, Joel Lapin, et al.
Nature Methods|March 24, 2026
Integration of alternative fragmentation techniques into standard LC-MS workflows using a single deep learning model enhances proteome coverageNikita Levin, Cemil Can Saylan, Joel Lapin, et al.
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Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Molecular Modeling|January 23, 2024
Optimization of CHARMM force field parameters for ryanodine receptor inhibitory drug dantrolene using FFTK and FFParamSaliha Nur Uludag, Cemil Can Saylan, Adem Tekin, et al.
Bioinformatics Advances|May 1, 2023
CanIsoNet: a database to study the functional impact of isoform switching events in diseasesTülay Karakulak, Damian Szklarczyk, Cemil Can Saylan, et al.
Journal of Molecular Structure|July 28, 2021
The iron(III) and nickel(II) complexes with tetradentate thiosemicarbazones. Synthesis, experimental, theoretical characterization, and antiviral effect against SARS-CoV-2Belkis Atasever Arslan, Büşra Kaya, Onur Şahin, et al.
Food Science & Nutrition|February 19, 2024
Depolymerization of actin filaments by Cucurbitacin I through binding G-actinEbru Haciosmanoglu Aldogan, Kemal Alper Önsü, Cemil Can Saylan, et al.
The Tohoku Journal of Experimental Medicine|May 24, 2016
High Plasma Pentraxin 3 Levels in Diabetic Polyneuropathy Patients with Nociceptive PainCelal Salcini, Belkis Atasever-Arslan, Gulin Sunter, et al.
Nature Communications|July 1, 2025
Prosit-XL: enhanced cross-linked peptide identification by fragment intensity prediction to study protein interactions and structuresMostafa Kalhor, Cemil Can Saylan, Mario Picciani, et al.
F1000Research|February 9, 2022
Lessons from a ten-year-long journey: building a student-driven computational biology society across TurkeyYasin Kaya, Tülay Karakulak, Cemil Can Saylan, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2025
Integrating Alternative Fragmentation Techniques into Standard LC-MS Workflows Using a Single Deep Learning Model Enhances Proteome CoverageNikita Levin, Cemil Can Saylan, Joel Lapin, et al.
Nature Methods|March 24, 2026
Integration of alternative fragmentation techniques into standard LC-MS workflows using a single deep learning model enhances proteome coverageNikita Levin, Cemil Can Saylan, Joel Lapin, et al.
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