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 (BIONETICS, 2006)

Hill Kinetics Meets P Systems: A Case Study on Gene Regulatory Networks as Computing Agents in silico and in vivo. - Thomas Hinze; Sikander Hayat; Thorsten Lenser; Naoki Matsumaru; Peter Dittrich (Workshop on Membrane Computing, 2007)

Prediction of the burial status of transmembrane residues of helical membrane proteins. - Yungki Park; Sikander Hayat; Volkhard Helms (BMC Bioinform., 2007)

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 (BIOSIGNALS (1), 2008)

Statistical analysis and exposure status classification of transmembrane beta barrel residues. - Sikander Hayat; Yungki Park; Volkhard Helms (Comput. Biol. Chem., 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)

BOCTOPUS: improved topology prediction of transmembrane β barrel proteins. - Sikander Hayat; Arne Elofsson (Bioinform., 2012)

Ranking models of transmembrane β-barrel proteins using Z-coordinate predictions. - Sikander Hayat; Arne Elofsson (Bioinform., 2012)

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 (Int. Conf. on Membrane Computing, 2014)

PconsFold: improved contact predictions improve protein models. - Mirco Michel; Sikander Hayat; Marcin J. Skwark; Chris Sander; Debora S. Marks; Arne Elofsson (Bioinform., 2014)

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)

MACA: marker-based automatic cell-type annotation for single-cell expression data. - Yang Xu 047; Simon J. Baumgart; Christian M. Stegmann; Sikander Hayat (Bioinform., 2022)

scE(match): Privacy-Preserving Cluster Matching of Single-Cell Data. - Johannes Lohmöller; Jannis Scheiber; Rafael Kramann; Klaus Wehrle; Sikander Hayat; Jan Pennekamp (TrustCom, 2024)