Statistical analysis of the physical properties of the 20 naturally occurring amino acids-Reference-Cited by-同舟云学术

Statistical analysis of the physical properties of the 20 naturally occurring amino acids

Published:1985-02 Issue:1 Volume:4 Page:23-55
ISSN:0277-8033
Container-title:Journal of Protein Chemistry
language:en
Short-container-title:J Protein Chem

Author:

Kidera Akinori,Konishi Yasuo,Oka Masahito,Ooi Tatsuo,Scheraga Harold A.

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry,Organic Chemistry,Biochemistry,Bioengineering,Analytical Chemistry

Link

http://link.springer.com/content/pdf/10.1007/BF01025492.pdf

Reference77 articles.

1. Anderson, T. W., and Rubin, H. (1956). In:Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, Vol. 5, pp. 111?150.

2. Bartlett, M. S. (1954).J. Roy. Stat. Soc. B 16, 296?298.

3. Beghin, F., and Dirkx, J. (1975).Arch. Int. Physiol. Biochim. 83, 167?168.

4. Bernstein, F. C., Koetzle, T. F., Williams, G. J. B., Meyer, Jr., E. F., Brice, M. D., Rodgers, J. R., Kennard, O., Shimanouchi, T., and Tasumi, M. (1977).J. Mol. Biol. 112, 535?542.

5. Bigelow, C. C. (1967).J. theor. Biol. 16, 187?211.

Cited by 314 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CD4+ T cells exhibit distinct transcriptional phenotypes in the lymph nodes and blood following mRNA vaccination in humans;Nature Immunology;2024-08-20

2. TCR-H: explainable machine learning prediction of T-cell receptor epitope binding on unseen datasets;Frontiers in Immunology;2024-08-16

3. Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning;PLOS Computational Biology;2024-07-02

4. DeepLION2: deep multi-instance contrastive learning framework enhancing the prediction of cancer-associated T cell receptors by attention strategy on motifs;Frontiers in Immunology;2024-03-07

5. Machine Learning Integrating Protein Structure, Sequence, and Dynamics to Predict the Enzyme Activity of Bovine Enterokinase Variants;Journal of Chemical Information and Modeling;2024-02-22