server
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SPIDER3: Capturing non-local interactions by long short term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers, and solvent accessibility
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SPOT-1D: Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks
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SPOT-Contact: Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks
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EASE-MM: Prediction of mutation-induced stability changes
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SPOT-Disorder: Protein disorder prediction v1.0
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SPOT-RNA: RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.
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SPOT-CBP: Template-based identification of carbohydrate-binding proteins
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SPOT-Disorder 2: Protein disorder prediction
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SPOT-MoRF: Molecular recognition Features in Intrinsically Disordered Regions by Transfer Learning
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SPOT-Ligand2: Small molecule virtual screening by binding homology on expanded template library
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SPOT-Ligand: Small molecule virtual screening by binding homology search
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SPARKS-X: Protein fold recognition
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SPOT-peptide: Template-based prediction of peptide binding proteins and peptide binding sites
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RNAcmap: A Fully Automatic Server for RNA Contact Map Prediction by Evolutionary Coupling