Dengue Virus (DENV) infection is responsible for the world's most significant insect-borne viral disease. Despite an increasing global impact, there are neither prophylactic nor therapeutic options available for the effective treatment of DENV infection. An attractive target for antiviral drugs is the virally encoded trypsin-like serine protease (NS3pro) and its associated cofactor (NS2B). The NS2B NS3pro complex is responsible for cleaving the viral polyprotein into separate functional viral proteins, and is therefore essential for replication. Recombinant expression of an active NS2B-NS3 protease has primarily been based on constructs linking the C-terminus of the approximately 40 amino acid hydrophilic cofactor domain of NS2B to the N-terminus of NS3pro via a flexible glycine linker. The resulting complex can be expressed in high yield, is soluble and catalytically active and has been used for most in vitro screening, inhibitor, and X-ray crystallographic studies over the last 15 years. Despite extensive analysis, no inhibitor drug candidates have been identified yet. Moreover, the effect of the artificial linker introduced between the protease and its cofactor is unknown. Two alternate methods for bacterial expression of non-covalently linked, catalytically active, NS2B-NS3pro complex are described here along with a comparison of the kinetics of substrate proteolysis and binding affinities of substrate-based aldehyde inhibitors. Both expression methods produced high yields of soluble protein with improved substrate proteolysis kinetics and inhibitor binding compared to their glycine-linked equivalent. The non-covalent association between NS2B and NS3pro is predicted to be more relevant for examining inhibitors that target cofactor-protease interactions rather than the protease active site. Furthermore, these approaches offer alternative strategies for the high yield co-expression of other protein assemblies. (C) 2015 Elsevier Inc. All rights reserved.
机构:
Univ Malaysia Pahang, Fac Ind Sci & Technol, Lebuhraya Tun Razak, Kuantan 26300, Pahang, Malaysia
Univ Malaysia Pahang, Ctr Bioaromat Res, Lebuhraya Tun Razak, Kuantan 26300, Pahang, MalaysiaUniv Malaysia Pahang, Fac Ind Sci & Technol, Lebuhraya Tun Razak, Kuantan 26300, Pahang, Malaysia
Tajuddin, Saiful Nizam
JOURNAL OF COMPUTATIONAL BIOPHYSICS AND CHEMISTRY,
2023,
: 645
-
653
机构:
Univ Sains Malaysia, Sch Pharmaceut Sci, Pharmaceut Design & Simulat PhDS Lab, George Town 11800, Malaysia
Univ Sains Malaysia, Sch Pharmaceut Sci, Discipline Pharmaceut Chem, George Town 11800, MalaysiaUniv Sains Malaysia, Sch Pharmaceut Sci, Pharmaceut Design & Simulat PhDS Lab, George Town 11800, Malaysia
Saqallah, Fadi G.
Abbas, Manal A.
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机构:
Al Ahliyya Amman Univ, Fac Allied Med Sci, Dept Med Lab Sci, Amman 19328, Jordan
Al Ahliyya Amman Univ, Pharmacol & Diagnost Res Lab, Amman 19328, JordanUniv Sains Malaysia, Sch Pharmaceut Sci, Pharmaceut Design & Simulat PhDS Lab, George Town 11800, Malaysia
Abbas, Manal A.
Wahab, Habibah A.
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h-index: 0
机构:
Univ Sains Malaysia, Sch Pharmaceut Sci, Pharmaceut Design & Simulat PhDS Lab, George Town 11800, Malaysia
Univ Sains Malaysia, Sch Pharmaceut Sci, Discipline Pharmaceut Technol, George Town 11800, MalaysiaUniv Sains Malaysia, Sch Pharmaceut Sci, Pharmaceut Design & Simulat PhDS Lab, George Town 11800, Malaysia