1 |
Improved production of Humira antibody in the genetically engineeredEscherichia coliSHuffle, by co-expression of human PDI-GPx7 fusions Lenon M, Ke N, Szady C, Sakhtah H, Ren GP, Manta B, Causey B, Berkmen M Applied Microbiology and Biotechnology, 104(22), 9693, 2020 |
2 |
Soluble overexpression, high-level production and purification of receptor binding domain of human VEGF(8-)(109) in E. coli Rezaei S, Takalloo Z, Rezaei ZS, Babaeipour V, Talebi AF, Sajedi RH Process Biochemistry, 96, 228, 2020 |
3 |
Environmental economic dispatch with heat optimization in the presence of renewable energy based on modified shuffle frog leaping algorithm Elattar EE Energy, 171, 256, 2019 |
4 |
Conversion of descriptor representations to state-space form: an extension of the shuffle algorithm Galvao RKH, Kienitz KH, Hadjiloucas S International Journal of Control, 91(10), 2199, 2018 |
5 |
Auto-induction for high level production of biologically active reteplase in Escherichia coli Fathi-Roudsari M, Maghsoudi N, Maghsoudi A, Niazi S, Soleiman M Protein Expression and Purification, 151, 18, 2018 |
6 |
A novel approach to multi-objective optimal power flow by a new hybrid optimization algorithm considering generator constraints and multi-fuel type Narimani MR, Azizipanah-Abarghooee R, Zoghdar-Moghadam-Shahrekohne B, Gholami K Energy, 49, 119, 2013 |
7 |
A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect Niknam T, Narimani MR, Azizipanah-Abarghooee R Energy Conversion and Management, 58, 197, 2012 |
8 |
Production of disulfide-bonded proteins in Escherichia coli Berkmen M Protein Expression and Purification, 82(1), 240, 2012 |
9 |
A modified shuffle frog leaping algorithm for multi-objective optimal power flow Niknam T, Narimani MR, Jabbari M, Malekpour AR Energy, 36(11), 6420, 2011 |