| Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, A Sattar, ... Scientific reports 5, 11476, 2015 | 172 | 2015 |
| Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳ s general PseAAC A Dehzangi, R Heffernan, A Sharma, J Lyons, K Paliwal, A Sattar Journal of theoretical biology 364, 284-294, 2015 | 143 | 2015 |
| A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition A Sharma, J Lyons, A Dehzangi, KK Paliwal Journal of theoretical biology 320, 41-46, 2013 | 98 | 2013 |
| Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network J Lyons, A Dehzangi, R Heffernan, A Sharma, K Paliwal, A Sattar, Y Zhou, ... Journal of computational chemistry 35 (28), 2040-2046, 2014 | 77 | 2014 |
| Exploiting conjugate symmetry of the short-time Fourier spectrum for speech enhancement K Wójcicki, M Milacic, A Stark, J Lyons, K Paliwal IEEE Signal processing letters 15, 461-464, 2008 | 54 | 2008 |
| A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition KK Paliwal, A Sharma, J Lyons, A Dehzangi IEEE transactions on nanobioscience 13 (1), 44-50, 2014 | 46 | 2014 |
| Spider2: A package to predict secondary structure, accessible surface area, and main-chain torsional angles by deep neural networks Y Yang, R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, ... Prediction of protein secondary structure, 55-63, 2017 | 45 | 2017 |
| A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition A Sharma, KK Paliwal, A Dehzangi, J Lyons, S Imoto, S Miyano BMC bioinformatics 14 (1), 233, 2013 | 42 | 2013 |
| Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins R Heffernan, A Dehzangi, J Lyons, K Paliwal, A Sharma, J Wang, A Sattar, ... Bioinformatics 32 (6), 843-849, 2015 | 41 | 2015 |
| Predict gram-positive and gram-negative subcellular localization via incorporating evolutionary information and physicochemical features into Chou's general PseAAC R Sharma, A Dehzangi, J Lyons, K Paliwal, T Tsunoda, A Sharma IEEE Transactions on NanoBioscience 14 (8), 915-926, 2015 | 39 | 2015 |
| Noise driven short-time phase spectrum compensation procedure for speech enhancement AP Stark, KK Wójcicki, JG Lyons, KK Paliwal Ninth Annual Conference of the International Speech Communication Association, 2008 | 38 | 2008 |
| Proposing a highly accurate protein structural class predictor using segmentation-based features A Dehzangi, K Paliwal, J Lyons, A Sharma, A Sattar BMC genomics 15 (1), S2, 2014 | 37 | 2014 |
| A segmentation-based method to extract structural and evolutionary features for protein fold recognition A Dehzangi, K Paliwal, J Lyons, A Sharma, A Sattar IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 11 …, 2014 | 27 | 2014 |
| Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping J Lyons, N Biswas, A Sharma, A Dehzangi, KK Paliwal Journal of theoretical biology 354, 137-145, 2014 | 26 | 2014 |
| Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features A Dehzangi, S Sohrabi, R Heffernan, A Sharma, J Lyons, K Paliwal, ... BMC bioinformatics 16 (4), S1, 2015 | 23 | 2015 |
| Enhancing protein fold prediction accuracy using evolutionary and structural features A Dehzangi, K Paliwal, J Lyons, A Sharma, A Sattar IAPR International Conference on Pattern Recognition in Bioinformatics, 196-207, 2013 | 23 | 2013 |
| Advancing the accuracy of protein fold recognition by utilizing profiles from hidden Markov models J Lyons, A Dehzangi, R Heffernan, Y Yang, Y Zhou, A Sharma, K Paliwal IEEE transactions on nanobioscience 14 (7), 761-772, 2015 | 21 | 2015 |
| Evaluation of sequence features from intrinsically disordered regions for the estimation of protein function A Sharma, A Dehzangi, J Lyons, S Imoto, S Miyano, K Nakai, A Patil PloS one 9 (2), e89890, 2014 | 18 | 2014 |
| Exploring potential discriminatory information embedded in pssm to enhance protein structural class prediction accuracy A Dehzangi, K Paliwal, J Lyons, A Sharma, A Sattar IAPR International Conference on Pattern Recognition in Bioinformatics, 208-219, 2013 | 18 | 2013 |
| Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information KK Paliwal, A Sharma, J Lyons, A Dehzangi BMC bioinformatics 15 (16), S12, 2014 | 17 | 2014 |
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneVerified email at griffith.edu.au