| RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning J Singh, J Hanson, K Paliwal, Y Zhou Nature communications 10 (1), 1-13, 2019 | 120 | 2019 |
| Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning R Heffernan, K Paliwal, J Lyons, J Singh, Y Yang, Y Zhou Journal of computational chemistry 39 (26), 2210-2216, 2018 | 68 | 2018 |
| Detecting proline and non-proline cis isomers in protein structures from sequences using deep residual ensemble learning J Singh, J Hanson, R Heffernan, K Paliwal, Y Yang, Y Zhou Journal of chemical information and modeling 58 (9), 2033-2042, 2018 | 13 | 2018 |
| Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning J Singh, K Paliwal, T Zhang, J Singh, T Litfin, Y Zhou Bioinformatics 37 (17), 2589-2600, 2021 | 11 | 2021 |
| Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural network AK Hanumanthappa, J Singh, K Paliwal, J Singh, Y Zhou Bioinformatics 36 (21), 5169-5176, 2021 | 10 | 2021 |
| SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large … J Singh, T Litfin, K Paliwal, J Singh, AK Hanumanthappa, Y Zhou Bioinformatics 37 (20), 3464-3472, 2021 | 9 | 2021 |
| RNAcmap: a fully automatic pipeline for predicting contact maps of RNAs by evolutionary coupling analysis T Zhang, J Singh, T Litfin, J Zhan, K Paliwal, Y Zhou Bioinformatics 37 (20), 3494-3500, 2021 | 4 | 2021 |
| RNA backbone torsion and pseudotorsion angle prediction using dilated convolutional neural networks J Singh, K Paliwal, J Singh, Y Zhou Journal of Chemical Information and Modeling 61 (6), 2610-2622, 2021 | 3 | 2021 |
| SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model J Singh, T Litfin, J Singh, K Paliwal, Y Zhou Bioinformatics 38 (7), 1888-1894, 2022 | 2 | 2022 |
| SPOT-Contact-Single: Improving Single-Sequence-Based Prediction of Protein Contact Map using a Transformer Language Model J Singh, T Litfin, J Singh, K Paliwal, Y Zhou bioRxiv, 2021 | 2 | 2021 |
| RNAcmap: a fully automatic method for predicting contact maps of RNAs by evolutionary coupling analysis T Zhang, J Singh, T Litfin, J Zhan, K Paliwal, Y Zhou bioRxiv, 2020 | 1 | 2020 |
| Detection of Cis-Trans Conformation in Protein Structure using Deep Learning Neural Network Techniques J Singh Griffith University, Brisbane, Australia, 2019 | 1 | 2019 |
| The effect of thin insulating layers on surface fields from a 433MHz transmitter inside the human body J Singh, HG Espinosa, DV Thiel 2018 Australian Microwave Symposium (AMS), 53-54, 2018 | 1 | 2018 |
| Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignment J Singh, K Paliwal, T Litfin, J Singh, Y Zhou Scientific reports 12 (1), 1-9, 2022 | | 2022 |
| Probing RNA structures and functions by solvent accessibility: an overview from experimental and computational perspectives M Solayman, T Litfin, J Singh, K Paliwal, Y Zhou, J Zhan Briefings in Bioinformatics 23 (3), bbac112, 2022 | | 2022 |
| SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks J Singh, J Singh, K Paliwal, A Busch, Y Zhou 2021 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2021 | | 2021 |
| SPOT-1D-LM: Reaching Alignment-profile-based Accuracy in Predicting Protein Secondary and Tertiary Structural Properties without Alignment. J Singh, K Paliwal, J Singh, Y Zhou bioRxiv, 2021 | | 2021 |
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneVerified email at griffith.edu.au
