کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5132156 1491509 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel nucleic acid sequence encoding strategy for high-performance aptamer identification and the aid of sequence design and optimization
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
A novel nucleic acid sequence encoding strategy for high-performance aptamer identification and the aid of sequence design and optimization
چکیده انگلیسی


- A novel numerical strategy Apta-LoopEnc is developed for aptamer encoding from its structure and composition.
- Coupled with pattern recognition techniques, Apta-LoopEnc could help high-performance aptamer identification.
- Apta-LoopEnc based SVM holds great potential in accelerating new aptamer screening and related studies.

Aptamers have exhibited a great potential for research, clinical and industrial purposes. A critical step to realize these applications is to gain high-affinity aptamers specific to interested targets. To facilitate the selection of aptamers generated in systematic evolution of ligands by exponential enrichment (SELEX) process, we propose a novel nucleic acid sequence encoding strategy of Apta-LoopEnc for secondary structural feature extraction of candidate sequences by analyzing their delicate substructures in loop regions. Since the unique loop structures of aptamers determine their interaction with targets, encoding their central loop structures directly enables featuring aptamer binding affinity related properties. Additionally, the nucleotide composition of a sequence is also used as descriptors in Apta-LoopEnc to further decrease the description similarity between sequences. The feasibility of Apta-LoopEnc for sequence encoding has been demonstrated by the study of high-affinity aptamer identification against human hepatocellular carcinoma cells. The results indicate the developed Apta-LoopEnc is able to significantly improve the performance of different pattern recognition models. Using the Apta-LoopEnc based support vector machine (SVM) to predict a set of newly designed candidate sequences beyond SELEX has further demonstrated the potential of the developed sequence encoding and prediction strategy in aid of high-performance aptamer design and optimization in an easy, time-saving and cost-effective way via computation, thus, promoting the development of aptamer-related studies and applications.

A novel nucleic acid sequence encoding strategy, Apta-LoopEnc, was used to identify high-performance aptamers and aid new sequence design and optimization.260

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 170, 15 November 2017, Pages 32-37
نویسندگان
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