Literature DB >> 17350564

Establishing the triplet nature of the genetic code.

Charles Yanofsky1.   

Abstract

In 1961, Crick, Barnett, Brenner, and Watts-Tobin (Crick et al., 1961) designed an elegant experimental strategy to determine the nature of the genetic code. Remarkably, they reached the correct conclusion despite the absence of technology to analyze and compare DNA and protein sequences.

Mesh：

Substances：

Year:  2007        PMID： 17350564     DOI： 10.1016/j.cell.2007.02.029

Source DB:  PubMed          Journal:  Cell        ISSN： 0092-8674            Impact factor:   41.582


  12 in total

Review 1.  Understanding the Genetic Code.

Authors:  Milton H Saier
Journal:  J Bacteriol       Date:  2019-07-10       Impact factor: 3.490

2.  HLPI-Ensemble: Prediction of human lncRNA-protein interactions based on ensemble strategy.

Authors:  Huan Hu; Li Zhang; Haixin Ai; Hui Zhang; Yetian Fan; Qi Zhao; Hongsheng Liu
Journal:  RNA Biol       Date:  2018-06-06       Impact factor: 4.652

3.  IIMLP: integrated information-entropy-based method for LncRNA prediction.

Authors:  Junyi Li; Huinian Li; Xiao Ye; Li Zhang; Qingzhe Xu; Yuan Ping; Xiaozhu Jing; Wei Jiang; Qing Liao; Bo Liu; Yadong Wang
Journal:  BMC Bioinformatics       Date:  2021-05-13       Impact factor: 3.169

4.  BiGAN: LncRNA-disease association prediction based on bidirectional generative adversarial network.

Authors:  Qiang Yang; Xiaokun Li
Journal:  BMC Bioinformatics       Date:  2021-06-30       Impact factor: 3.169

5.  Predicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA.

Authors:  Xing Chen
Journal:  Sci Rep       Date:  2015-08-17       Impact factor: 4.379

6.  DNILMF-LDA: Prediction of lncRNA-Disease Associations by Dual-Network Integrated Logistic Matrix Factorization and Bayesian Optimization.

Authors:  Yan Li; Junyi Li; Naizheng Bian
Journal:  Genes (Basel)       Date:  2019-08-12       Impact factor: 4.096

7.  ICLRBBN: a tool for accurate prediction of potential lncRNA disease associations.

Authors:  Yuqi Wang; Hao Li; Linai Kuang; Yihong Tan; Xueyong Li; Zhen Zhang; Lei Wang
Journal:  Mol Ther Nucleic Acids       Date:  2020-12-10       Impact factor: 8.886

8.  IRWRLDA: improved random walk with restart for lncRNA-disease association prediction.

Authors:  Xing Chen; Zhu-Hong You; Gui-Ying Yan; Dun-Wei Gong
Journal:  Oncotarget       Date:  2016-09-06

Review 9.  Long non-coding RNAs and complex diseases: from experimental results to computational models.

Authors:  Xing Chen; Chenggang Clarence Yan; Xu Zhang; Zhu-Hong You
Journal:  Brief Bioinform       Date:  2017-07-01       Impact factor: 11.622

10.  A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations.

Authors:  Jiechen Li; Xueyong Li; Xiang Feng; Bing Wang; Bihai Zhao; Lei Wang
Journal:  BMC Bioinformatics       Date:  2019-12-03       Impact factor: 3.169
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.