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Akila Katuwawala

Showing results (1-10 of 14) with videos related to

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Biomolecules|December 9, 2020
Comparative Assessment of Intrinsic Disorder Predictions with a Focus on Protein and Nucleic Acid-Binding ProteinsAkila Katuwawala, Lukasz Kurgan
Bioinformatics (Oxford, England)|September 6, 2021
DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learningAkila Katuwawala, Bi Zhao, Lukasz Kurgan
Progress in Molecular Biology and Translational Science|September 16, 2019
Computational prediction of functions of intrinsically disordered regionsAkila Katuwawala, Sina Ghadermarzi, Lukasz Kurgan
Protein Science : a Publication of the Protein Society|October 24, 2019
DISOselect: Disorder predictor selection at the protein levelAkila Katuwawala, Christopher J Oldfield, Lukasz Kurgan
Briefings in Bioinformatics|October 17, 2019
Accuracy of protein-level disorder predictionsAkila Katuwawala, Christopher J Oldfield, Lukasz Kurgan
Briefings in Bioinformatics|August 20, 2021
DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequencesJian Zhang, Sina Ghadermarzi, Akila Katuwawala, et al.
Computational and Structural Biotechnology Journal|April 23, 2019
Computational Prediction of MoRFs, Short Disorder-to-order Transitioning Protein Binding RegionsAkila Katuwawala, Zhenling Peng, Jianyi Yang, et al.
Cellular and Molecular Life Sciences : CMLS|September 30, 2020
IDPology of the living cell: intrinsic disorder in the subcellular compartments of the human cellBi Zhao, Akila Katuwawala, Vladimir N Uversky, et al.
Computational and Structural Biotechnology Journal|May 24, 2021
QUARTERplus: Accurate disorder predictions integrated with interpretable residue-level quality assessment scoresAkila Katuwawala, Sina Ghadermarzi, Gang Hu, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Disordered Function Conjunction: On the in-silico function annotation of intrinsically disordered regionsSina Ghadermarzi, Akila Katuwawala, Christopher J Oldfield, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Biomolecules|December 9, 2020
Comparative Assessment of Intrinsic Disorder Predictions with a Focus on Protein and Nucleic Acid-Binding ProteinsAkila Katuwawala, Lukasz Kurgan
Bioinformatics (Oxford, England)|September 6, 2021
DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learningAkila Katuwawala, Bi Zhao, Lukasz Kurgan
Progress in Molecular Biology and Translational Science|September 16, 2019
Computational prediction of functions of intrinsically disordered regionsAkila Katuwawala, Sina Ghadermarzi, Lukasz Kurgan
Protein Science : a Publication of the Protein Society|October 24, 2019
DISOselect: Disorder predictor selection at the protein levelAkila Katuwawala, Christopher J Oldfield, Lukasz Kurgan
Briefings in Bioinformatics|October 17, 2019
Accuracy of protein-level disorder predictionsAkila Katuwawala, Christopher J Oldfield, Lukasz Kurgan
Briefings in Bioinformatics|August 20, 2021
DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequencesJian Zhang, Sina Ghadermarzi, Akila Katuwawala, et al.
Computational and Structural Biotechnology Journal|April 23, 2019
Computational Prediction of MoRFs, Short Disorder-to-order Transitioning Protein Binding RegionsAkila Katuwawala, Zhenling Peng, Jianyi Yang, et al.
Cellular and Molecular Life Sciences : CMLS|September 30, 2020
IDPology of the living cell: intrinsic disorder in the subcellular compartments of the human cellBi Zhao, Akila Katuwawala, Vladimir N Uversky, et al.
Computational and Structural Biotechnology Journal|May 24, 2021
QUARTERplus: Accurate disorder predictions integrated with interpretable residue-level quality assessment scoresAkila Katuwawala, Sina Ghadermarzi, Gang Hu, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Disordered Function Conjunction: On the in-silico function annotation of intrinsically disordered regionsSina Ghadermarzi, Akila Katuwawala, Christopher J Oldfield, et al.
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