Search the dblp DataBase

Publications of Author

1. Shandar Ahmad, M. Michael Gromiha
   NETASA: neural network based prediction of solvent accessibility. [Citation Graph (0, 0)][DBLP]
   Bioinformatics, 2002, v:18, n:6, pp:819-824 [Journal]
   
2. Shandar Ahmad, M. Michael Gromiha, Akinori Sarai
   RVP-net: online prediction of real valued accessible surface area of proteins from single sequences. [Citation Graph (0, 0)][DBLP]
   Bioinformatics, 2003, v:19, n:14, pp:1849-1851 [Journal]
   
3. 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. [Citation Graph (0, 0)][DBLP]
   Bioinformatics, 2004, v:20, n:4, pp:- [Journal]
   
4. Shandar Ahmad, M. Michael Gromiha, Hamed Fawareh, Akinori Sarai
   ASAView: Database and tool for solvent accessibility representation in proteins. [Citation Graph (0, 0)][DBLP]
   BMC Bioinformatics, 2004, v:5, n:, pp:51- [Journal]
   
5. Shandar Ahmad, Akinori Sarai
   PSSM-based prediction of DNA binding sites in proteins. [Citation Graph (0, 0)][DBLP]
   BMC Bioinformatics, 2005, v:6, n:, pp:33- [Journal]
   
6. Marcos J. Araúzo-Bravo, Shandar Ahmad, Akinori Sarai
   Dimensionality of amino acid space and solvent accessibility prediction with neural networks. [Citation Graph (0, 0)][DBLP]
   Computational Biology and Chemistry, 2006, v:30, n:2, pp:160-168 [Journal]
   
7. M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
   Application of residue distribution along the sequence for discriminating outer membrane proteins. [Citation Graph (0, 0)][DBLP]
   Computational Biology and Chemistry, 2005, v:29, n:2, pp:135-142 [Journal]
   
8. Shandar Ahmad, M. Michael Gromiha
   Design and training of a neural network for predicting the solvent accessibility of proteins. [Citation Graph (0, 0)][DBLP]
   Journal of Computational Chemistry, 2003, v:24, n:11, pp:1313-1320 [Journal]
   
9. M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
   Neural network-based prediction of transmembrane -strand segments in outer membrane proteins. [Citation Graph (0, 0)][DBLP]
   Journal of Computational Chemistry, 2004, v:25, n:5, pp:762-767 [Journal]
   
10. Shandar Ahmad, Akinori Sarai
    Qgrid: clustering tool for detecting charged and hydrophobic regions in proteins. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2004, v:32, n:Web-Server-Issue, pp:104-107 [Journal]
    
11. M. Michael Gromiha, Shandar Ahmad, Makiko Suwa
    TMBETA-NET: discrimination and prediction of membrane spanning ß-strands in outer membrane proteins. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2005, v:33, n:Web-Server-Issue, pp:164-167 [Journal]
    
12. 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. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2006, v:34, n:Web-Server-Issue, pp:124-127 [Journal]
    
13. Shandar Ahmad
    Dynamic Outlier Exclusion Training Algorithm for Sequence Based Predictions in Proteins Using Neural Network. [Citation Graph (0, 0)][DBLP]
    PRIB, 2007, pp:142-147 [Conf]
    
14. 
    ATP-binding site as a further application of neural networks to residue level prediction. [Citation Graph (, )][DBLP]
    
    
15. 
    Neural network based prediction of protein structure and Function: Comparison with other machine learning methods. [Citation Graph (, )][DBLP]
    
    
16. 
    Recognition of Drug-Target Interaction Patterns using Genetic Algorithm-optimized Bayesian-regularized Neural Networks and Support Vector Machines. [Citation Graph (, )][DBLP]
    
    
17. 
    Human Blood-Brain Differential Gene-Expression Correlates with Dipeptide Frequency of Gene Products. [Citation Graph (, )][DBLP]