Transformer-based deep learning for predicting protein properties in the life sciences A Chandra, L Tünnermann, T Löfstedt, R Gratz Elife 12, e82819, 2023 | 75 | 2023 |
GlyStruct: glycation prediction using structural properties of amino acid residues HM Reddy, A Sharma, A Dehzangi, D Shigemizu, AA Chandra, ... BMC bioinformatics 19, 55-64, 2019 | 47 | 2019 |
PhoglyStruct: Prediction of phosphoglycerylated lysine residues using structural properties of amino acids A Chandra, A Sharma, A Dehzangi, S Ranganathan, A Jokhan, KC Chou, ... Scientific reports 8 (1), 17923, 2018 | 41 | 2018 |
A method of WSN and sensor cloud system to monitor cold chain logistics as part of the IoT technology A Chandra, S Lee International Journal of Multimedia and Ubiquitous Engineering 9 (10), 145-152, 2014 | 34 | 2014 |
Review on sensor cloud and its integration with arduino based sensor network AA Chandra, Y Lee, BM Kim, SY Maeng, SH Park, SR Lee 2013 International Conference on IT Convergence and Security (ICITCS), 1-4, 2013 | 34 | 2013 |
EvolStruct-Phogly: incorporating structural properties and evolutionary information from profile bigrams for the phosphoglycerylation prediction AA Chandra, A Sharma, A Dehzangi, T Tsunoda BMC genomics 19, 1-9, 2019 | 23 | 2019 |
Cloud based real-time monitoring and control of diesel generator using the IoT technology AA Chandra, NI Jannif, S Prakash, V Padiachy 2017 20th International Conference on Electrical Machines and Systems (ICEMS …, 2017 | 21 | 2017 |
Bigram-PGK: phosphoglycerylation prediction using the technique of bigram probabilities of position specific scoring matrix A Chandra, A Sharma, A Dehzangi, D Shigemizu, T Tsunoda BMC molecular and cell biology 20, 1-9, 2019 | 18 | 2019 |
Internet-of-things based approach for monitoring pharmaceutical cold chain AA Chandra, JS Back, SR Lee 한국통신학회논문지 39 (9), 828-840, 2014 | 9 | 2014 |
Ram-PGK: prediction of lysine phosphoglycerylation based on residue adjacency matrix AA Chandra, A Sharma, A Dehzangi, T Tsunoda Genes 11 (12), 1524, 2020 | 8 | 2020 |
PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features A Chandra, A Sharma, I Dehzangi, T Tsunoda, A Sattar Scientific reports 13 (1), 20882, 2023 | 6 | 2023 |
Computational prediction of lysine pupylation sites in prokaryotic proteins using position specific scoring matrix into bigram for feature extraction V Singh, A Sharma, A Chandra, A Dehzangi, D Shigemizu, T Tsunoda PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 6 | 2019 |
Advanced Monitoring of Cold Chain using Wireless Sensor Network and Sensor Cloud Infrastructure A Chandra, S Lee International Electronic Conference on Sensors and Applications, 2014 | 5 | 2014 |
Yield and quality of pea (Pisum Sativum L.) as affected by levels of Zn and FYM S Kumar, MK Sharma, A Chandra, BD Sharma Asian Journal of Horticulture 7 (1), 104-107, 2012 | 5 | 2012 |
Dynamic trajectory planning of a standard trailer system B Sharma, J Vanualailai, A Chandra Far East J. Appl. Math 28, 465-486, 2007 | 4 | 2007 |
Estimation of packet delay components for time synchronization in wireless sensor networks S Kumar, A Chandra, S Lee Advanced Science and Technology Letters 28, 104-109, 2013 | 3 | 2013 |
Faculty Orientation Online Tool (FOOT) Documentation BN Sharma, B Kumar, V Singh, A Chandra, R Prasad FSTE-USP, 2015 | 1 | 2015 |
Advanced Monitoring of Cold Chain Logistics using WSN and Sensor Cloud Infrastructure AA Chandra, K Kim, S Kim, SR Lee INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 6 …, 2014 | 1 | 2014 |
Predicting Phosphoglycerylation with Transformer Features and Deep Learning A Chandra, A Sharma, I Dehzangi, T Tsunoda, A Sattar 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering …, 2023 | | 2023 |
Deep Learning for Protein Peptide binding Prediction: Incorporating Sequence, Structural and Language Model Features A Chandra, A Sharma, I Dehzangi, T Tsunoda, A Sattar bioRxiv, 2023.09. 02.556055, 2023 | | 2023 |