Kil To Chong (Kil-To Chong)

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 39

Top Topics

Artificial Intelligence

Top Venues

International journal of molecular sciences

This page only lists publications with an associated author ORCID identifier.

Publications

Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction. International journal of molecular sciences 24 (3) (2023)
Muhammad Shujaat, Hoonjoo Kim, Hilal Tayara, Kil To Chong
iProm-Sigma54: A CNN Base Prediction Tool for σ 54 Promoters. Cells 12 (6) (2023)
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
Artificial Intelligence in Drug Metabolism and Excretion Prediction: Recent Advances, Challenges, and Future Perspectives. Pharmaceutics 15 (4) (2023)
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction. International journal of molecular sciences 24 (3) (2023)
Muhammad Shujaat, Hoonjoo Kim, Hilal Tayara, Kil To Chong
iProm-Sigma54: A CNN Base Prediction Tool for σ 54 Promoters. Cells 12 (6) (2023)
Muhammad Shujaat, Hoonjoo Kim, Hilal Tayara, Kil To Chong
iProm-Sigma54: A CNN Base Prediction Tool for σ 54 Promoters. Cells 12 (6) (2023)
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
Artificial Intelligence in Drug Metabolism and Excretion Prediction: Recent Advances, Challenges, and Future Perspectives. Pharmaceutics 15 (4) (2023)
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
Artificial Intelligence in Drug Metabolism and Excretion Prediction: Recent Advances, Challenges, and Future Perspectives. Pharmaceutics 15 (4) (2023)
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction. International journal of molecular sciences 24 (3) (2023)
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
Artificial Intelligence in Drug Metabolism and Excretion Prediction: Recent Advances, Challenges, and Future Perspectives. Pharmaceutics 15 (4) (2023)
Keerthana Jaganathan, Mobeen Ur Rehman, Hilal Tayara, Kil To Chong
XML-CIMT: Explainable Machine Learning (XML) Model for Predicting Chemical-Induced Mitochondrial Toxicity. International journal of molecular sciences 23 (24) (2022)
Sharzil Haris Khan, Hilal Tayara, Kil To Chong
ProB-Site: Protein Binding Site Prediction Using Local Features. Cells 11 (13) (2022)
Keerthana Jaganathan, Mobeen Ur Rehman, Hilal Tayara, Kil To Chong
XML-CIMT: Explainable Machine Learning (XML) Model for Predicting Chemical-Induced Mitochondrial Toxicity. International journal of molecular sciences 23 (24) (2022)
Keerthana Jaganathan, Mobeen Ur Rehman, Hilal Tayara, Kil To Chong
XML-CIMT: Explainable Machine Learning (XML) Model for Predicting Chemical-Induced Mitochondrial Toxicity. International journal of molecular sciences 23 (24) (2022)
Zeeshan Abbas, Hilal Tayara, Kil To Chong
ENet-6mA: Identification of 6mA Modification Sites in Plant Genomes Using ElasticNet and Neural Networks. International journal of molecular sciences 23 (15) (2022)
Mapopa Chipofya, Hilal Tayara, Kil To Chong
Deep Probabilistic Learning Model for Prediction of Ionic Liquids Toxicity. International journal of molecular sciences 23 (9) (2022)
Jeehong Kim, Yeongmin Jang, Hyo Sung Kwak, Hilal Tayara, Kil To Chong
Analysis of Bending Degree of Basilar Artery Using Image Processing. Diagnostics (Basel, Switzerland) 12 (9) (2022)
Keerthana Jaganathan, Hilal Tayara, Kil To Chong
An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors. Pharmaceutics 14 (4) (2022)
Ashutosh Ghimire, Hilal Tayara, Zhenyu Xuan, Kil To Chong
CSatDTA: Prediction of Drug-Target Binding Affinity Using Convolution Model with Self-Attention. International journal of molecular sciences 23 (15) (2022)
Mobeen Ur Rehman, Hilal Tayara, Guishen Wang, Kil To Chong
i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites. Bioinformatics (Oxford, England) 38 (16) (2022)
Sadik Bhattarai, Kyu-Sik Kim, Hilal Tayara, Kil To Chong
ACP-ADA: A Boosting Method with Data Augmentation for Improved Prediction of Anticancer Peptides. International journal of molecular sciences 23 (20) (2022)
Jeevan Kandel, Hilal Tayara, Kil To Chong
PUResNet: prediction of protein-ligand binding sites using deep residual neural network. Journal of cheminformatics 13 (1) (2021)
Ibrahim Abdelbaky, Hilal Tayara, Kil To Chong
Identification of miRNA-Small Molecule Associations by Continuous Feature Representation Using Auto-Encoders. Pharmaceutics 14 (1) (2021)
Mapopa Chipofya, Hilal Tayara, Kil To Chong
Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional Networks. Pharmaceutics 13 (11) (2021)
Keerthana Jaganathan, Hilal Tayara, Kil To Chong
Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets. International journal of molecular sciences 22 (15) (2021)
Mobeen Ur Rehman, SeungBin Cho, Jeehong Kim, Kil To Chong
BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder-Decoder Network. Diagnostics (Basel, Switzerland) 11 (2) (2021)
Alick-O Vweza, Chul-Gyu Song, Kil To Chong
Liquid-Liquid Phase Separation in the Presence of Macromolecular Crowding and State-dependent Kinetics. International journal of molecular sciences 22 (13) (2021)
Zeeshan Abbas, Hilal Tayara, Kil To Chong
4mCPred-CNN-Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network. Genes 12 (2) (2021)
Waleed Alam, Hilal Tayara, Kil To Chong
i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical Properties. Genes 12 (8) (2021)
Md Mazedul Haq, Md Arifur Rahman Chowdhury, Hilal Tayara, Ibrahim Abdelbaky, Md Shariful Islam, Kil To Chong, Sangyun Jeong
A Report on Multi-Target Anti-Inflammatory Properties of Phytoconstituents from Monochoria hastata (Family: Pontederiaceae). Molecules (Basel, Switzerland) 26 (23) (2021)
Arslan Siraj, Dae Yeong Lim, Hilal Tayara, Kil To Chong
UbiComb: A Hybrid Deep Learning Model for Predicting Plant-Specific Protein Ubiquitylation Sites. Genes 12 (5) (2021)
Muhammad Shujaat, Abdul Wahab, Hilal Tayara, Kil To Chong
pcPromoter-CNN: A CNN-Based Prediction and Classification of Promoters. Genes 11 (12) (2020)
Felipe P Vista, Minh Tri Ngo, Seung Bin Cho, Hyo Sung Kwak, Kil To Chong
Carotid Artery Plaque Identification and Display System (MRI-CAPIDS) Using Opensource Tools. Diagnostics (Basel, Switzerland) 10 (12) (2020)
Omid Mahmoudi, Abdul Wahab, Kil To Chong
iMethyl-Deep: N6 Methyladenosine Identification of Yeast Genome with Automatic Feature Extraction Technique by Using Deep Learning Algorithm. Genes 11 (5) (2020)
Mobeen Ur Rehman, Kil To Chong
DNA6mA-MINT: DNA-6mA Modification Identification Neural Tool. Genes 11 (8) (2020)
Abdul Wahab, Omid Mahmoudi, Jeehong Kim, Kil To Chong
DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning. Cells 9 (8) (2020)
Zakaria Louadi, Mhaned Oubounyt, Hilal Tayara, Kil To Chong
Deep Splicing Code: Classifying Alternative Splicing Events Using Deep Learning. Genes 10 (8) (2019)
Hilal Tayara, Kil To Chong
Improving the Quantification of DNA Sequences Using Evolutionary Information Based on Deep Learning. Cells 8 (12) (2019)
Hilal Tayara, Kil To Chong
Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network. Sensors (Basel, Switzerland) 18 (10) (2018)