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Bioinformatics (Oxford, England)|April 23, 2008
Prediction of disordered regions in proteins based on the meta approachTakashi Ishida, Kengo KinoshitaBioengineering (Basel, Switzerland)|April 3, 2021
P3CMQA: Single-Model Quality Assessment Using 3DCNN with Profile-Based FeaturesYuma Takei, Takashi IshidaComputational and Structural Biotechnology Journal|August 18, 2020
Sequence alignment generation using intermediate sequence search for homology modelingShuichiro Makigaki, Takashi IshidaBioinformatics (Oxford, England)|June 15, 2019
Sequence alignment using machine learning for accurate template-based protein structure predictionShuichiro Makigaki, Takashi IshidaPlos One|September 6, 2019
Protein model accuracy estimation based on local structure quality assessment using 3D convolutional neural networkRin Sato, Takashi IshidaNucleic Acids Research|June 15, 2007
PrDOS: prediction of disordered protein regions from amino acid sequenceTakashi Ishida, Kengo KinoshitaJournal of Chemical Information and Modeling|October 28, 2023
Comparing Supervised Learning and Rigorous Approach for Predicting Protein Stability upon Point Mutations in Difficult TargetsJason Kurniawan, Takashi IshidaBMC Bioinformatics|October 30, 2021
End-to-end learning for compound activity prediction based on binding pocket informationToshitaka Tanebe, Takashi IshidaCancer Science|November 4, 2010
Immunopathogenesis of lymphoma: focus on CCR4Takashi Ishida, Ryuzo UedaBio-Protocol|March 4, 2021
Sequence Alignment Using Machine Learning for Accurate Template-based Protein Structure PredictionShuichiro Makigaki, Takashi IshidaPageof 42