Heinrich Sticht

Orcid: 0000-0001-5644-045X

According to our database1, Heinrich Sticht authored at least 15 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Closed Loop Molecular Communication Testbed: Setup, Interference Analysis, and Experimental Results.
CoRR, 2023

Switchable Signaling Molecules for Media Modulation: Fundamentals, Applications, and Research Directions.
CoRR, 2023

2022
Media Modulation Based Molecular Communication.
IEEE Trans. Commun., 2022

2020
A Survey of Biological Building Blocks for Synthetic Molecular Communication Systems.
IEEE Commun. Surv. Tutorials, 2020

2019
A Survey of Biological Building Blocks for Synthetic Molecular Communication Systems.
CoRR, 2019

2016
Channel Estimation for Diffusive Molecular Communications.
IEEE Trans. Commun., 2016

Channel estimation techniques for diffusion-based molecular communications.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

2014
Is there a sodium effect in fibrillar amyloid-β oligomers?
J. Cheminformatics, 2014

A tight lower bound on the mutual information of a binary and an arbitrary finite random variable as a function of the variational distance.
Proceedings of the Australian Communications Theory Workshop, AusCTW 2014, Sydney, 2014

2013
Is the novel amyloid-β tetramer fold a stable conformation?
J. Cheminformatics, 2013

Stability of single and double layer fibrillar amyloid-β oligomers.
J. Cheminformatics, 2013

Confidence Intervals for the Mutual Information
CoRR, 2013

A Tight Lower Bound on the Mutual Information of a Binary and an Arbitrary Finite Random Variable in Dependence of the Variational Distance
CoRR, 2013

2011
Structural Basis for Species Selectivity in the HIV-1 gp120-CD4 Interaction: Restoring Affinity to gp120 in Murine CD4 Mimetic Peptides.
Adv. Bioinformatics, 2011

2007
A computational strategy for the prediction of functional linear peptide motifs in proteins.
Bioinform., 2007


  Loading...