Bokkasam Harish, Ott Albrecht
Institute of Biological Experimental Physics, Saarland University, Saarbrucken, Germany.
PLoS One. 2016 Mar 15;11(3):e0151072. doi: 10.1371/journal.pone.0151072. eCollection 2016.
Molecular communication systems encounter similar constraints as telecommunications. In either case, channel crosstalk at the receiver end will result in information loss that statistical analysis cannot compensate. This is because in any communication channel there is a physical limit to the amount of information that can be transmitted. We present a novel and simple modified end amplification (MEA) technique to generate reduced and defined amounts of specific information in form of short fragments from an oligonucleotide source that also contains unrelated and redundant information. Our method can be a valuable tool to investigate information overflow and channel capacity in biomolecular recognition systems.
分子通信系统面临着与电信类似的限制。在这两种情况下，接收端的信道串扰都会导致信息丢失，而统计分析无法对此进行补偿。这是因为在任何通信信道中，能够传输的信息量都存在物理限制。我们提出了一种新颖且简单的改进型末端扩增（MEA）技术，以从包含不相关和冗余信息的寡核苷酸源中生成特定数量的短片段形式的特定信息。我们的方法可以成为研究生物分子识别系统中信息溢出和信道容量的宝贵工具。
