Sikander Hayat

According to our database, Sikander Hayat authored at least 12 papers between 2006 and 2022.

Collaborative distances:

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

2022

MACA: marker-based automatic cell-type annotation for single-cell expression data.

Yang Xu, Simon J. Baumgart, Christian M. Stegmann, Sikander Hayat

Bioinform., 2022

2016

Inclusion of dyad-repeat pattern improves topology prediction of transmembrane β-barrel proteins.

Sikander Hayat, Christoph Peters, Nanjiang Shu, Konstantinos D. Tsirigos, Arne Elofsson

Bioinform., 2016

2014

PconsFold: improved contact predictions improve protein models.

Mirco Michel, Sikander Hayat, Marcin J. Skwark, Chris Sander, Debora S. Marks, Arne Elofsson

Bioinform., 2014

Categorised Counting Mediated by Blotting Membrane Systems for Particle-Based Data Mining and Numerical Algorithms.

Thomas Hinze, Konrad Grützmann, Benny Höckner, Peter Sauer, Sikander Hayat

Proceedings of the Membrane Computing, 2014

2012

Ranking models of transmembrane <i>β</i>-barrel proteins using Z-coordinate predictions.

Sikander Hayat, Arne Elofsson

Bioinform., 2012

BOCTOPUS: improved topology prediction of transmembrane β barrel proteins.

Sikander Hayat, Arne Elofsson

Bioinform., 2012

2011

Prediction of the Exposure Status of transmembrane beta Barrel residues from protein Sequence.

Sikander Hayat, Peter Walter, Yungki Park, Volkhard Helms

J. Bioinform. Comput. Biol., 2011

Statistical analysis and exposure status classification of transmembrane beta barrel residues.

Sikander Hayat, Yungki Park, Volkhard Helms

Comput. Biol. Chem., 2011

2008

Biosignal-Based Computing By AHL Induced Synthetic Gene Regulatory Networks - From an in vivo Flip-Flop Implementation to Programmable Computing Agents.

Thomas Hinze, Thorsten Lenser, Naoki Matsumaru, Peter Dittrich, Sikander Hayat

Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007

Prediction of the burial status of transmembrane residues of helical membrane proteins.

Yungki Park, Sikander Hayat, Volkhard Helms

BMC Bioinform., 2007

Hill Kinetics Meets P Systems: A Case Study on Gene Regulatory Networks as Computing Agents <i>in silico</i> and <i>in vivo</i>.

Thomas Hinze, Sikander Hayat, Thorsten Lenser, Naoki Matsumaru, Peter Dittrich

Proceedings of the Membrane Computing, 8th International Workshop, 2007

2006

Towards in vivo computing: quantitative analysis of an artificial gene regulatory network behaving as a RS flip-flop and simulating the system in silico.

Sikander Hayat, Kai Ostermann, Lutz Brusch, Wolfgang Pompe, Gerhard Rödel

Proceedings of the 1st International ICST Conference on Bio Inspired Models of Network, 2006