Computational Engineering of Protein L to Achieve an Optimal Affinity Chromatography Resin for Purification of Antibody Fragments

Computational Engineering of Protein L to Achieve an Optimal Affinity Chromatography Resin for Purification of Antibody Fragments Publisher

Rahmati S¹ ; Torkashvand F¹ ; Amanlou M² ; Bagherzadeh K^{3, 4} ; Fard Esfahani P⁵ ; Aghamirza Moghim Aliabadi H¹ ; Vaziri B¹

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1. Biotechnology Research Center, Pasteur Institute of Iran, Tehran, 1316943551, Iran
2. Department of Medicinal Chemistry, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, 1417614411, Iran
3. Eye Research Center, Five Senses Institute, Rassoul Akram Hospital, Iran University of Medical Sciences, Tehran, 1445613131, Iran
4. Stem Cell and Regenerative Medicine Research Center, Iran University of Medical Sciences, Tehran, 1449614535, Iran
5. Department of Biochemistry, Pasteur Institute of Iran, Tehran, 1316943551, Iran

Source: Analytical Chemistry Published:2021

Abstract

Protein L affinity chromatography is a useful method for the purification of antibody fragments containing kappa light chains. In affinity chromatography, increasing the binding affinity leads to increased product purity, recovery, and dynamic binding capacity (DBC). In this study, molecular docking and molecular dynamics simulation techniques were used to design the engineered Protein L with higher affinity to the kappa light chain. Each engineered ligand was produced as a recombinant protein and coupled to a solid matrix. The purity, recovery, and DBC of the engineered resins were evaluated and then compared to those of a commercially available resin. The results showed important parameters for engineering more efficient Protein L ligands for affinity chromatography. ©

Style	Citing Format
MLA	Rahmati S, et al.. "Computational Engineering of Protein L to Achieve an Optimal Affinity Chromatography Resin for Purification of Antibody Fragments." Analytical Chemistry, vol. 93, no. 46, 2021, pp. 15253-15261.
APA	Rahmati S, Torkashvand F, Amanlou M, Bagherzadeh K, Fard Esfahani P, Aghamirza Moghim Aliabadi H, Vaziri B (2021). Computational Engineering of Protein L to Achieve an Optimal Affinity Chromatography Resin for Purification of Antibody Fragments. Analytical Chemistry, 93(46), 15253-15261.
Chicago	Rahmati S, Torkashvand F, Amanlou M, Bagherzadeh K, Fard Esfahani P, Aghamirza Moghim Aliabadi H, Vaziri B. "Computational Engineering of Protein L to Achieve an Optimal Affinity Chromatography Resin for Purification of Antibody Fragments." Analytical Chemistry 93, no. 46 (2021): 15253-15261.
Harvard	Rahmati S et al. (2021) 'Computational Engineering of Protein L to Achieve an Optimal Affinity Chromatography Resin for Purification of Antibody Fragments', Analytical Chemistry, 93(46), pp. 15253-15261.
Vancouver	Rahmati S, Torkashvand F, Amanlou M, Bagherzadeh K, Fard Esfahani P, Aghamirza Moghim Aliabadi H, et al.. Computational Engineering of Protein L to Achieve an Optimal Affinity Chromatography Resin for Purification of Antibody Fragments. Analytical Chemistry. 2021;93(46):15253-15261.
BibTex	@article{ author = {Rahmati S and Torkashvand F and Amanlou M and Bagherzadeh K and Fard Esfahani P and Aghamirza Moghim Aliabadi H and Vaziri B}, title = {Computational Engineering of Protein L to Achieve an Optimal Affinity Chromatography Resin for Purification of Antibody Fragments}, journal = {Analytical Chemistry}, volume = {93}, number = {46}, pages = {15253-15261}, year = {2021} }
RIS	TY - JOUR AU - Rahmati S AU - Torkashvand F AU - Amanlou M AU - Bagherzadeh K AU - Fard Esfahani P AU - Aghamirza Moghim Aliabadi H AU - Vaziri B TI - Computational Engineering of Protein L to Achieve an Optimal Affinity Chromatography Resin for Purification of Antibody Fragments JO - Analytical Chemistry VL - 93 IS - 46 SP - 15253 EP - 15261 PY - 2021 ER -

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