Predicting deamidation and isomerization sites in therapeutic antibodies using structure-based in silico approaches.

Asparagine (Asn) deamidation and aspartic acid (Asp) isomerization are common degradation pathways that affect the stability of therapeutic antibodies. These modifications can pose a significant challenge in the development of biopharmaceuticals. As such, the early engineering and selection of chemically stable monoclonal antibodies (mAbs) can substantially mitigate the risk of subsequent failure. In this study, we introduce a novel in silico approach for predicting deamidation and isomerization sites in therapeutic antibodies by analyzing the structural environment surrounding asparagine and aspartate residues. The resulting quantitative structure-activity relationship (QSAR) model was trained using previously published forced degradation data from 57 clinical-stage mAbs. The predictive accuracy of the model was evaluated for four different states of the protein structure: (1) static homology models, (2) enhancing low-frequency vibrational modes during short molecular dynamics (MD) runs, (3) a combination of (2) with a protonation state reassignment, and (4) conventional full-atomistic MD simulations. The most effective QSAR model considered the accessible surface area (ASA) of the residue, the pKa value of the backbone amide, and the root mean square deviations of both the alpha carbon and the side chain. The accuracy was further enhanced by incorporating the QSAR model into a decision tree, which also includes empirical information about the sequential successor and the position in the protein. The resulting model has been implemented as a plugin named "Forecasting Reactivity of Isomerization and Deamidation in Antibodies" in MOE software, completed with a user-friendly graphical interface to facilitate its use.

Enzyme kinetics and hit validation in fluorimetric protease assays.

Fluorimetric assays are convenient and efficient to determine the inhibitory potency of enzyme inhibitors. Since enzyme activity can be blocked in a number of ways, it is important to determine the exact mode of inhibition. The first part of the review deals with kinetic methods to distinguish among the different modes of inhibition. In addition to that, pitfalls are discussed that can be encountered if the mode of inhibition was not thoroughly investigated. The second part of the review deals with some basic techniques of hit validation. Specifically, three error sources that may result in misleadingly strong inhibitors are scrutinized and exemplified for two different typical protease assays (cathepsin B, chymotrypsin). The studied error sources are attenuation of the fluorescence signal, aggregation of the analysed molecules, and irreversible binding of the inhibitor to the enzyme. A simple experimental protocol to detect the aforementioned problems is proposed.

A small-molecule inhibitor of Nipah virus envelope protein-mediated membrane fusion.

Nipah virus (NiV), a highly pathogenic paramyxovirus, causes respiratory disease in pigs and severe febrile encephalitis in humans with high mortality rates. On the basis of the structural similarity of viral fusion (F) proteins within the family Paramyxoviridae, we designed and tested 18 quinolone derivatives in a NiV and measles virus (MV) envelope protein-based fusion assay beside evaluation of cytotoxicity. We found five compounds successfully inhibiting NiV envelope protein-induced cell fusion. The most active molecules (19 and 20), which also inhibit the syncytium formation induced by infectious NiV and show a low cytotoxicity in Vero cells, represent a promising lead quinolone-type compound structure. Molecular modeling indicated that compound 19 fits well into a particular protein cavity present on the NiV F protein that is important for the fusion process.