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2025	Machine learning in predictive biocatalysis: A comparative review of methods and applications Biotechnology Advances Neha Tripathi, Joan Hérisson, Jean-Loup Faulon
2025	2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) Nur Mohammad Chowdhury, Md Saidul Islam, Subhra Dey, Ranjan Paul, Mohammad Abdul Kadir, Md Tohfatul Islam, Md Reza Un Nabi, Md Abu Yusuf
2025	Exploration of Computational Approaches in Enzyme Classification: Problems and Recent Development—A Critical Review Archives of Computational Methods in Engineering Prabha Singh, Sudhakar Tripathi, Anand Bihari
2025	2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI) Vaibhav Verma, Rajneesh Kumar, Gautam Kumar
2023	Energy Profile Bayes and Thompson Optimized Convolutional Neural Network protein structure prediction Neural Computing and Applications Varanavasi Nallasamy, Malarvizhi Seshiah
2023	A Novel Multi-Stage Bispectral Deep Learning Method for Protein Family Classification Computers, Materials & Continua Amjed Al Fahoum, Ala’a Zyout, Hiam Alquran, Isam Abu-Qasmieh
2023	Enzyme Substrate Prediction from Three-Dimensional Feature Representations Using Space-Filling Curves Journal of Chemical Information and Modeling Dmitrij Rappoport, Adrian Jinich
2023	An Innovative Bispectral Deep Learning Method for Protein Family Classification Computers, Materials & Continua Isam Abu-Qasmieh, Amjed Al Fahoum, Hiam Alquran, Ala’a Zyout
2021	Improving Protein Subcellular Location Classification by Incorporating Three-Dimensional Structure Information Biomolecules Ge Wang, Yu-Jia Zhai, Zhen-Zhen Xue, Ying-Ying Xu
2021	Incorporating Machine Learning into Established Bioinformatics Frameworks International Journal of Molecular Sciences Noam Auslander, Ayal B. Gussow, Eugene V. Koonin
2021	Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach BMC Bioinformatics Pegah Mavaie, Lawrence Holder, Daniel Beck, Michael K. Skinner
2021	A Deep Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification Journal of Imaging Débora N. Diniz, Mariana T. Rezende, Andrea G. C. Bianchi, Claudia M. Carneiro, Eduardo J. S. Luz, Gladston J. P. Moreira, Daniela M. Ushizima, Fátima N. S. de Medeiros, Marcone J. F. Souza
2021	Identification of Enzymes-specific Protein Domain Based on DDE, and Convolutional Neural Network Frontiers in Genetics Rahu Sikander, Yuping Wang, Ali Ghulam, Xianjuan Wu
2020	Machine learning techniques for protein function prediction Proteins: Structure, Function, and Bioinformatics Rosalin Bonetta, Gianluca Valentino
2020	Prediction of Enzyme Function Based on a Structure Relation Network IEEE Access Meng Liang, Junlan Nie
2020	Ensemble deep learning in bioinformatics Nature Machine Intelligence Yue Cao, Thomas Andrew Geddes, Jean Yee Hwa Yang, Pengyi Yang
2020	Alpha influenza virus infiltration prediction using virus-human protein-protein interaction network Mathematical Biosciences and Engineering Babak Khorsand, Abdorreza Savadi, Javad Zahiri, Mahmoud Naghibzadeh
2020	Deep Dive into Machine Learning Models for Protein Engineering Journal of Chemical Information and Modeling Yuting Xu, Deeptak Verma, Robert P. Sheridan, Andy Liaw, Junshui Ma, Nicholas M. Marshall, John McIntosh, Edward C. Sherer, Vladimir Svetnik, Jennifer M. Johnston
2020	Network-based protein structural classification Royal Society Open Science Khalique Newaz, Mahboobeh Ghalehnovi, Arash Rahnama, Panos J. Antsaklis, Tijana Milenković
2019	A Multi-Label Supervised Topic Model Conditioned on Arbitrary Features for Gene Function Prediction Genes Lin Liu, Lin Tang, Xin Jin, Wei Zhou
2019	2019 2nd International Conference on Safety Produce Informatization (IICSPI) Jinyin Chen, Liangying Liu, Haibin Zheng, Zhen Wang
2019	Investigation of machine learning techniques on proteomics: A comprehensive survey Progress in Biophysics and Molecular Biology Pravinkumar M. Sonsare, C. Gunavathi
2019	Set of approaches based on 3D structure and position specific-scoring matrix for predicting DNA-binding proteins Bioinformatics Loris Nanni, Sheryl Brahnam
2019	Prediction of Enzyme Function Based on Three Parallel Deep CNN and Amino Acid Mutation International Journal of Molecular Sciences Ruibo Gao, Mengmeng Wang, Jiaoyan Zhou, Yuhang Fu, Meng Liang, Dongliang Guo, Junlan Nie
2018	Phylogenetic convolutional neural networks in metagenomics BMC Bioinformatics Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
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