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Found 5 papers, 2 papers with code
COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images
In the absence of specific drugs or vaccines for the treatment of COVID-19 and the limitation of prevailing diagnostic techniques, there is a requirement for some alternate automatic screening systems that can be used by the physicians to quickly identify and isolate the infected patients.
PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information
Accurately determining a change in protein binding affinity upon mutations is important for the discovery and design of novel therapeutics and to assist mutagenesis studies.
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ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors
Determination of binding affinity of proteins in the formation of protein complexes requires sophisticated, expensive and time-consuming experimentation which can be replaced with computational methods.
Training large margin host-pathogen protein-protein interaction predictors
We have also developed a web server for our HPI predictor called HoPItor (Host Pathogen Interaction predicTOR) that can predict interactions between human and viral proteins.
pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications
Motivation: A major challenge in the development of machine learning based methods in computational biology is that data may not be accurately labeled due to the time and resources required for experimentally annotating properties of proteins and DNA sequences.
