CAL-EF-AFi : : A Server for Prediction and analysis of canonical EF-loop in Ca2+ binding EF-hand motifs

About

CAL-EF-AFi is a server for Prediction and analysis of canonical EF-loop in Ca2+ binding EF-hand motifs and estimation of binding affinity from its primary sequence.On the first step, it takes amino acid sequence in FASTA format as input and predict the Canonical EF-loop.The method is based on a Support Vector Machine created using a combination of features : Amino Acid Composition and Binary pattern . Estimation of binding affinity of calcium binding site is very important as there are no other tools available for the same.A similar SVM model was generated for estimation of binding constant using different physio-chemical features of amino acid.