Litcius/Paper detail

SEMal: Accurate protein malonylation site predictor using structural and evolutionary information

Shubhashis Roy Dipta, Ghazaleh Taherzadeh, Md. Wakil Ahmad, Md. Easin Arafat, Swakkhar Shatabda, Abdollah Dehzangi

2020Computers in Biology and Medicine26 citationsDOI

Topics & Concepts

Computer scienceClassifier (UML)Matthews correlation coefficientArtificial intelligenceComputational biologyMachine learningBiologySupport vector machineMachine Learning in BioinformaticsRNA and protein synthesis mechanismsAdvanced Proteomics Techniques and Applications
SEMal: Accurate protein malonylation site predictor using structural and evolutionary information | Litcius