Publications by authors named "Qiwan Hu"

Molecular structures are commonly depicted in 2D printed forms in scientific documents such as journal papers and patents. However, these 2D depictions are not machine readable. Due to a backlog of decades and an increasing amount of printed literatures, there is a high demand for translating printed depictions into machine-readable formats, which is known as Optical Chemical Structure Recognition (OCSR).

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Due to diverse reasons, most drug candidates cannot eventually become marketed drugs. Developing reliable computational methods for prediction of drug-likeness of candidate compounds is of vital importance to improve the success rate of drug discovery and development. In this study, we used a fully connected neural networks (FNN) to construct drug-likeness classification models with deep autoencoder to initialize model parameters.

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CavityPlus is a web server that offers protein cavity detection and various functional analyses. Using protein three-dimensional structural information as the input, CavityPlus applies CAVITY to detect potential binding sites on the surface of a given protein structure and rank them based on ligandability and druggability scores. These potential binding sites can be further analysed using three submodules, CavPharmer, CorrSite, and CovCys.

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The covalent modification of intrinsically nucleophilic cysteine in proteins is crucial for diverse biochemical events. Bioinformatics approaches may prove useful in the design and discovery of covalent molecules targeting the cysteine in proteins to tune their functions and activities. Herein, we describe the Cysteinome, the first online database that provides a rich resource for the display, search and analysis of structure, function and related annotation for proteins with targetable cysteine as well as their covalent modulators.

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