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V H H Structural Modelling Approaches: A Critical Review.

Authors :: Vishwakarma, Poonam
Vattekatte, Akhila Melarkode
Shinada, Nicolas
Diharce, Julien
Martins, Carla
Cadet, Frédéric
Gardebien, Fabrice
Etchebest, Catherine
Nadaradjane, Aravindan Arun
de Brevern, Alexandre G.
Source :: International Journal of Molecular Sciences; Apr2022, Vol. 23 Issue 7, p3721-N.PAG, 32p
Publication Year :: 2022
Abstract: V<subscript>H</subscript>H, i.e., VH domains of camelid single-chain antibodies, are very promising therapeutic agents due to their significant physicochemical advantages compared to classical mammalian antibodies. The number of experimentally solved V<subscript>H</subscript>H structures has significantly improved recently, which is of great help, because it offers the ability to directly work on 3D structures to humanise or improve them. Unfortunately, most V<subscript>H</subscript>Hs do not have 3D structures. Thus, it is essential to find alternative ways to get structural information. The methods of structure prediction from the primary amino acid sequence appear essential to bypass this limitation. This review presents the most extensive overview of structure prediction methods applied for the 3D modelling of a given V<subscript>H</subscript>H sequence (a total of 21). Besides the historical overview, it aims at showing how model software programs have been shaping the structural predictions of V<subscript>H</subscript>Hs. A brief explanation of each methodology is supplied, and pertinent examples of their usage are provided. Finally, we present a structure prediction case study of a recently solved V<subscript>H</subscript>H structure. According to some recent studies and the present analysis, AlphaFold 2 and NanoNet appear to be the best tools to predict a structural model of V<subscript>H</subscript>H from its sequence. [ABSTRACT FROM AUTHOR]