In vitro selection with artificial expanded genetic information systems
نویسندگان
چکیده
منابع مشابه
In vitro selection with artificial expanded genetic information systems.
Artificially expanded genetic information systems (AEGISs) are unnatural forms of DNA that increase the number of independently replicating nucleotide building blocks. To do this, AEGIS pairs are joined by different arrangements of hydrogen bond donor and acceptor groups, all while retaining their Watson-Crick geometries. We report here a unique case where AEGIS DNA has been used to execute a s...
متن کاملNucleobase pairing in expanded Watson-Crick-like genetic information systems.
To guide the design of alternative genetic systems, we measured melting temperatures of DNA duplexes containing matched and mismatched nucleobase pairs from natural and unnatural structures. The pairs were analyzed in terms of structural features, including nucleobase size, number of hydrogen bonds formed, the presence of uncompensated hydrogen bonding functional groups, the nature of the bond ...
متن کاملGenetic Algorithms: Artificial Selection vs Natural Selection
Genetic Algorithms (GAs) are a stochastic searching and optimizing method inspired by the biological mechanism of natural selection and evolution. To improve the searching power of GAs for complicated problems, many deterministic measures, particularly, experience and/or expert knowledge-based heuristic rules, have been studied in the existing literature. This paper proposes a potentially more ...
متن کاملKnowledge Dependency in Expanded Incomplete Information Systems
Incomplete information systems are expanded with the significance of objects in order to combine factors such as decision maker’s preferences and prior domain knowledge, etc. In the expanded incomplete information systems, information granules have their own significance, some basic concepts in rough set theory such as accuracy measure, rough entropies of knowledge and a set are both establishe...
متن کاملA Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems
Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2013
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.1311778111