A. Mary Thangakani

According to our database, A. Mary Thangakani authored at least 8 papers between 2006 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

GAP: towards almost 100 percent prediction for β-strand-mediated aggregating peptides with distinct morphologies.

A. Mary Thangakani, Sandeep Kumar, Raju Nagarajan, Devadasan Velmurugan, M. Michael Gromiha

Bioinform., 2014

Identification of Novel c-Yes Kinase Inhibitors.

C. Ramakrishnan, A. Mary Thangakani, Devadasan Velmurugan, M. Michael Gromiha

Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

2013

Distinct position-specific sequence features of hexa-peptides that form amyloid-fibrils: application to discriminate between amyloid fibril and amorphous β-aggregate forming peptide sequences.

A. Mary Thangakani, Sandeep Kumar, Devadasan Velmurugan, M. Michael Gromiha

BMC Bioinform., 2013

Role of Protein Aggregation and Interactions between α-Synuclein and Calbindin in Parkinson's Disease.

M. Michael Gromiha, S. Biswal, A. Mary Thangakani, Sandeep Kumar, G. J. Masilamoni, Devadasan Velmurugan

Proceedings of the Intelligent Computing Theories and Technology, 2013

2012

Sequence Analysis and Discrimination of Amyloid and Non-amyloid Peptides.

M. Michael Gromiha, A. Mary Thangakani, Sandeep Kumar, Devadasan Velmurugan

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

2009

TMFunction: database for functional residues in membrane proteins.

M. Michael Gromiha, Yukimitsu Yabuki, M. Xavier Suresh, A. Mary Thangakani, Makiko Suwa, Kazuhiko Fukui

Nucleic Acids Res., 2009

2006

FOLD-RATE: prediction of protein folding rates from amino acid sequence.

M. Michael Gromiha, A. Mary Thangakani, Samuel Selvaraj

Nucleic Acids Res., 2006

A Statistical Method for Predicting Protein Unfolding Rates from Amino Acid Sequence.

M. Michael Gromiha, Samuel Selvaraj, A. Mary Thangakani

J. Chem. Inf. Model., 2006