Mathematical modelling of non-feedback and feedback modes within eIF2 machinery: Limited data aided with well-studied in-vivo system of yeast

Mohammad Farhan Khan; Mohammad Ayman Mursaleen

Mathematical modelling of non-feedback and feedback modes within eIF2 machinery: Limited data aided with well-studied in-vivo system of yeast

Mohammad Farhan Khan, Mohammad Ayman Mursaleen

School of Arts, Humanities, and Social Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	IEEE International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)
Publication status	Published - 21 Jul 2023

Cite this

@inproceedings{4b46eaaa0cbc4cebb4b936a8da8c469a,

title = "Mathematical modelling of non-feedback and feedback modes within eIF2 machinery: Limited data aided with well-studied in-vivo system of yeast",

author = "Khan, {Mohammad Farhan} and Mursaleen, {Mohammad Ayman}",

year = "2023",

month = jul,

day = "21",

language = "English",

booktitle = "IEEE International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)",

}

Mathematical modelling of non-feedback and feedback modes within eIF2 machinery: Limited data aided with well-studied in-vivo system of yeast. / Khan, Mohammad Farhan; Mursaleen, Mohammad Ayman.
IEEE International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES). 2023.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Mathematical modelling of non-feedback and feedback modes within eIF2 machinery: Limited data aided with well-studied in-vivo system of yeast

AU - Khan, Mohammad Farhan

AU - Mursaleen, Mohammad Ayman

PY - 2023/7/21

Y1 - 2023/7/21

M3 - Conference contribution

BT - IEEE International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)

ER -