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Mycobacterium tuberculosis (Mtb) 16.3 kDa heat shock protein 16.3 (HSP16.3) is a latency-associated antigen that can be targeted for latent tuberculosis (TB) diagnostic and therapeutic development. We have previously developed human VH domain antibodies (dAbs; clone E3 and F1) specific against HSP16.3. In this work, we applied computational methods to optimise and design the antibodies in order to improve the binding affinity with HSP16.3. The VH domain antibodies were first docked to the dimer form of HSP16.3 and further sampled using molecular dynamics simulation. The calculated binding free energy of the HSP16.3-dAb complexes showed non-polar interactions were responsible for the antigen-antibody association. Per-residue free energy decomposition and computational alanine scanning have identified one hotspot residue for E3 (Y391) and 4 hotspot residues for F1 (M394, Y396, R397 and M398). These hotspot residues were then mutated and evaluated by binding free energy calculations. Phage ELISA assay was carried out on the potential mutants (E3Y391W, F1M394E, F1R397N and F1M398Y). The experimental assay showed improved binding affinities of E3Y391W and F1M394E against HSP16.3 compared with the wild type E3 and F1. This case study has thus showed in silico methods are able to assist in optimisation or improvement of antibody-antigen binding. [ABSTRACT FROM AUTHOR]

Abstract: Phage display has been applied successfully as a tool for the generation of monoclonal antibodies (mAbs). Naive antibody libraries are unique as they are able to overcome several limitations associated with conventional mAb generation methods like the hybridoma technology. Here, we performed an in vitro selection and generation of Fab antibodies against Brugia malayi SXP protein (BmSXP), a recombinant antigen for the detection of lymphatic filariasis. We developed a naïve multi ethnic Fab antibody library with an estimated diversity of 2.99 × 109. The antibody library was used to screen for mAbs against BmSXP recombinant antigen. Soluble monoclonal Fab antibodies against BmSXP were successfully isolated from the naïve library. The Fab antibodies obtained were expressed and analyzed to show its binding capability. The diversity obtained from a pool of donors from various ethnic groups allowed for a diverse antibody library to be generated. The mAbs obtained were also functional in soluble form, which makes it useful for further downstream applications. We believe that the Fab mAbs are valuable for further studies and could also contribute to improvements in the diagnosis of filariasis. [ABSTRACT FROM AUTHOR]

Abstract: With the development of de novo binders for protein targets from non‐related scaffolds, many possibilities for therapeutics and diagnostics have been created. In this study, we described the use of de novo design approach to create single‐chain fragment variable (scFv) for Salmonella enterica subspecies enterica serovar Typhi TolC protein. Typhoid fever is a global health concern in developing and underdeveloped countries. Rapid typhoid diagnostics will improve disease management and therapy. In this work, molecular dynamics simulation was first performed on a homology model of TolC protein in POPE membrane bilayer to obtain the central structure that was subsequently used as the target for scFv design. Potential hotspot residues capable of anchoring the binders to the target were identified by docking “disembodied” amino acid residues against TolC surface. Next, scFv scaffolds were selected from Protein Data Bank to harbor the computed hotspot residues. The hotspot residues were then incorporated into the scFv scaffold complementarity determining regions. The designs recapitulated binding energy, shape complementarity, and interface surface area of natural protein‐antibody interfaces. This approach has yielded 5 designs with high binding affinity against TolC that may be beneficial for the future development of antigen‐based detection agents for typhoid diagnostics. [ABSTRACT FROM AUTHOR]

Mycobacterium tuberculosis(Mtb) is capable of surviving in dormancy before developing to tuberculosis (TB). One of the major challenges of TB management is the identification of patients, making TB diagnosis critical for disease management. This study focuses on the 16 kDa heat shock protein (HSP16.3; a potential biomarker for latent TB infection) that is expressed during the latent phase of Mtb growth. In order to explore the dynamics and interactions of HSP16.3, the 3-D structure of HSP16.3 was built via comparative modelling. The predicted structure shows a predominantly beta-sheet dodecamer with alpha-helical folds at its N-terminal. A known protein-hydrophobic probe (1,1′-Bi(4-anilino)naphthalene-5,5′-disulfonic acid; bisANS) was docked to the HSP16.3 model. Interacting residues predicted from docking and MD simulations are in good accordance with experimental data reported in the literature. MMPBSA calculation from MD simulation also showed favourable binding free energy of −29.90 kcal/mol, driven mainly by van der waals and non-polar solvation energies. The statistical evaluation and results from the computational study on HSP16.3 indicate the reliability of the built model, which is potentially useful for further structural studies of HSP16.3 for latent TB diagnostics. [ABSTRACT FROM PUBLISHER]