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ORCIDShandar Ahmad
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2020 – today
- 2024
[j23]Akash Ajay
, Tina Begum, Ajay Arya, Krishan Kumar, Shandar Ahmad:
Global and local genomic features together modulate the spontaneous single nucleotide mutation rate. Comput. Biol. Chem. 112: 108107 (2024)- 2023
- [j22]Hanif Amal Robbani, Alhadi Bustamam, Risman Adnan, Shandar Ahmad:
On Performance and Calibration of Natural Gradient Langevin Dynamics. IEEE Access 11: 53919-53931 (2023)
2010 – 2019
- 2019
- [j21]Sucheta Chauhan, Lovekesh Vig, Shandar Ahmad:
ECG anomaly class identification using LSTM and error profile modeling. Comput. Biol. Medicine 109: 14-21 (2019) - [j20]Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi:
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images. Frontiers Neuroinformatics 13: 53 (2019) - [r2]Preeti Pandey, Sabeeha Hasnain, Shandar Ahmad:
Protein-DNA Interactions. Encyclopedia of Bioinformatics and Computational Biology (2) 2019: 142-154 - [r1]Nur S. A. Ghani, Mohd Firdaus Raih, Shandar Ahmad:
Computational Prediction of Nucleic Acid Binding Residues From Sequence. Encyclopedia of Bioinformatics and Computational Biology (3) 2019: 678-687 - 2016
- [j19]Philip Prathipati, Chioko Nagao, Shandar Ahmad, Kenji Mizuguchi:
Improved pose and affinity predictions using different protocols tailored on the basis of data availability. J. Comput. Aided Mol. Des. 30(9): 817-828 (2016) - 2012
- [e2]Tetsuo Shibuya, Hisashi Kashima, Jun Sese, Shandar Ahmad:
Pattern Recognition in Bioinformatics - 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings. Lecture Notes in Computer Science 7632, Springer 2012, ISBN 978-3-642-34122-9 [contents] - 2011
- [j18]Michael Fernández, Yutaro Kumagai, Daron M. Standley, Akinori Sarai, Kenji Mizuguchi, Shandar Ahmad:
Prediction of dinucleotide-specific RNA-binding sites in proteins. BMC Bioinform. 12(S-13): S5 (2011) - 2010
- [j17]Adeel Malik, Ahmad Firoz, Vivekanand Jha, Shandar Ahmad:
PROCARB: A Database of Known and Modelled Carbohydrate-Binding Protein Structures with Sequence-Based Prediction Tools. Adv. Bioinformatics 2010: 436036:1-436036:9 (2010) - [j16]Shandar Ahmad, Yumlembam Hemjit Singh, Yogesh Paudel, Takaharu Mori, Yuji Sugita, Kenji Mizuguchi:
Integrated prediction of one-dimensional structural features and their relationships with conformational flexibility in helical membrane proteins. BMC Bioinform. 11: 533 (2010) - [j15]Michael Fernández, Shandar Ahmad, Akinori Sarai:
Proteochemometric Recognition of Stable Kinase Inhibition Complexes Using Topological Autocorrelation and Support Vector Machines. J. Chem. Inf. Model. 50(6): 1179-1188 (2010) - [j14]Shandar Ahmad, Ozlem Keskin, Kenji Mizuguchi, Akinori Sarai, Ruth Nussinov:
CCRXP: exploring clusters of conserved residues in protein structures. Nucleic Acids Res. 38(Web-Server-Issue): 398-401 (2010) - [j13]Shandar Ahmad, Madhu Chetty, Bertil Schmidt:
Pattern Recognition in Bioinformatics. Pattern Recognit. Lett. 31(14): 2071-2072 (2010)
2000 – 2009
- 2009
- [c5]Michael Fernández, Akinori Sarai, Shandar Ahmad:
Recognition of Drug-Target Interaction Patterns using Genetic Algorithm-optimized Bayesian-regularized Neural Networks and Support Vector Machines. SMC 2009: 498-503 - 2008
- [c4]M. Michael Gromiha, Shandar Ahmad, Makiko Suwa:
Neural network based prediction of protein structure and Function: Comparison with other machine learning methods. IJCNN 2008: 1739-1744 - [c3]Shandar Ahmad, Zulfiqar Ahmad:
ATP-binding site as a further application of neural networks to residue level prediction. IJCNN 2008: 2430-2434 - [c2]Shandar Ahmad:
Human Blood-Brain Differential Gene-Expression Correlates with Dipeptide Frequency of Gene Products. ISBRA 2008: 504-508 - [e1]Madhu Chetty, Alioune Ngom, Shandar Ahmad:
Pattern Recognition in Bioinformatics, Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings. Lecture Notes in Computer Science 5265, Springer 2008, ISBN 978-3-540-88434-7 [contents] - 2007
- [c1]Shandar Ahmad:
Dynamic Outlier Exclusion Training Algorithm for Sequence Based Predictions in Proteins Using Neural Network. PRIB 2007: 142-147 - 2006
- [j12]Marcos J. Araúzo-Bravo, Shandar Ahmad, Akinori Sarai:
Dimensionality of amino acid space and solvent accessibility prediction with neural networks. Comput. Biol. Chem. 30(2): 160-168 (2006) - [j11]Shandar Ahmad, Hidetoshi Kono, Marcos J. Araúzo-Bravo, Akinori Sarai:
ReadOut: structure-based calculation of direct and indirect readout energies and specificities for protein-DNA recognition. Nucleic Acids Res. 34(Web-Server-Issue): 124-127 (2006) - 2005
- [j10]Shandar Ahmad, Akinori Sarai:
PSSM-based prediction of DNA binding sites in proteins. BMC Bioinform. 6: 33 (2005) - [j9]M. Michael Gromiha, Shandar Ahmad, Makiko Suwa:
Application of residue distribution along the sequence for discriminating outer membrane proteins. Comput. Biol. Chem. 29(2): 135-142 (2005) - [j8]M. Michael Gromiha, Shandar Ahmad, Makiko Suwa:
TMBETA-NET: discrimination and prediction of membrane spanning ß-strands in outer membrane proteins. Nucleic Acids Res. 33(Web-Server-Issue): 164-167 (2005) - 2004
- [j7]Shandar Ahmad, M. Michael Gromiha, Akinori Sarai:
Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information. Bioinform. 20(4): 477-486 (2004) - [j6]Shandar Ahmad, M. Michael Gromiha, Hamed Fawareh, Akinori Sarai:
ASAView: Database and tool for solvent accessibility representation in proteins. BMC Bioinform. 5: 51 (2004) - [j5]M. Michael Gromiha, Shandar Ahmad, Makiko Suwa:
Neural network-based prediction of transmembrane -strand segments in outer membrane proteins. J. Comput. Chem. 25(5): 762-767 (2004) - [j4]Shandar Ahmad, Akinori Sarai:
Qgrid: clustering tool for detecting charged and hydrophobic regions in proteins. Nucleic Acids Res. 32(Web-Server-Issue): 104-107 (2004) - 2003
- [j3]Shandar Ahmad, M. Michael Gromiha, Akinori Sarai:
RVP-net: online prediction of real valued accessible surface area of proteins from single sequences. Bioinform. 19(14): 1849-1851 (2003) - [j2]Shandar Ahmad, M. Michael Gromiha:
Design and training of a neural network for predicting the solvent accessibility of proteins. J. Comput. Chem. 24(11): 1313-1320 (2003) - 2002
- [j1]Shandar Ahmad, M. Michael Gromiha:
NETASA: neural network based prediction of solvent accessibility. Bioinform. 18(6): 819-824 (2002)
Coauthor Index
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