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Found 7 papers, 2 papers with code
Machine learning analysis of cocaine addiction informed by DAT, SERT, and NET-based interactome networks
Cocaine dependence is neurological and involves many interacting proteins in the interactome.
Proteome-informed machine learning studies of cocaine addiction
Cocaine addiction accounts for a large portion of substance use disorders and threatens millions of lives worldwide.
Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, South Africa, and other COVID-19-devastated countries
We further unveil that mutation N501Y involved in United Kingdom (UK), South Africa, and Brazil variants may moderately weaken the binding between the RBD and many known antibodies, while mutations E484K and K417N found in South Africa and Brazilian variants can potentially disrupt the binding between the RDB and many known antibodies.
Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2
To provide the reader a quick update about the status of molecular modeling, simulation, and prediction of SARS-CoV-2, we present a comprehensive and systematic methodology-centered narrative in the nick of time.
Prediction and mitigation of mutation threats to COVID-19 vaccines and antibody therapies
This discovery implies the vulnerability of current vaccines and antibody drugs to new mutations.
Characterizing SARS-CoV-2 mutations in the United States
Using genotyping, sequence-alignment, time-evolution, $k$-means clustering, protein-folding stability, algebraic topology, and network theory, we reveal that the US SARS-CoV-2 has four substrains and five top US SARS-CoV-2 mutations were first detected in China (2 cases), Singapore (2 cases), and the United Kingdom (1 case).
Generative network complex for the automated generation of druglike molecules
Current drug discovery is expensive and time-consuming.
Biomolecules Quantitative Methods
