| Using Chou's general PseAAC to analyze the evolutionary relationship of receptor associated proteins (RAP) with various folding patterns of protein domains SM Krishnan Journal of theoretical biology 445, 62-74, 2018 | 72 | 2018 |
| Support vector machine (SVM) based multiclass prediction with basic statistical analysis of plasminogen activators S Muthukrishnan, M Puri, C Lefevre BMC research notes 7, 1-10, 2014 | 21 | 2014 |
| Oxypred: prediction and classification of oxygen-binding proteins S Muthukrishnan, A Garg, GPS Raghava Genomics, Proteomics and Bioinformatics 5 (3-4), 250-252, 2007 | 11 | 2007 |
| BacHbpred: Support Vector Machine Methods for the Prediction of Bacterial Hemoglobin‐Like Proteins MK Selvaraj, M Puri, KL Dikshit, C Lefevre Advances in Bioinformatics 2016 (1), 8150784, 2016 | 9 | 2016 |
| Harnessing the evolutionary information on oxygen binding proteins through Support Vector Machines based modules S Muthukrishnan, M Puri BMC Research Notes 11, 1-8, 2018 | 7 | 2018 |
| Classify vertebrate hemoglobin proteins by incorporating the evolutionary information into the general PseAAC with the hybrid approach SM Krishnan Journal of theoretical biology 409, 27-37, 2016 | 6 | 2016 |
| Ion-pumping microbial rhodopsin protein classification by machine learning approach MK Selvaraj, A Thakur, M Kumar, AK Pinnaka, CR Suri, B Siddhardha, ... BMC bioinformatics 24 (1), 29, 2023 | 3 | 2023 |
| Computational method for aromatase-related proteins using machine learning approach MK Selvaraj, J Kaur Plos one 18 (3), e0283567, 2023 | 1 | 2023 |
| The evolutionary relationship of S15/NS1RNA binding domains with a similar protein domain pattern-A computational approach SM Krishnan Informatics in Medicine Unlocked 24, 100611, 2021 | 1 | 2021 |
| Analysis and prediction of major blood proteins based on their amino acid and dipeptide composition S Muthukrishnan, M Puri, C Lefevre Deakin University, 2013 | 1 | 2013 |
Munish Puri FRSCProfessor and Chair in Alternative Proteins在 flinders.edu.au 的电子邮件经过验证
