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Updated: Oct 16, 2026
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Frequency and markov chain analysis of amino-acid sequences of human tumour necrosis factor
G Wu1
1Advanced Course on 'Cytokines in Immunity', Scuola Superiore d'Immunologia Ruggero Ceppellini, University of Naples 'Frederico II', La Città della Scienza, Via Coroglio 104, I-80124, Naples, Italy. hongguanglishibahao@yahoo.com
Abstract:
The amino-acid sequence of human tumour necrosis factor was measured according to two- and three-amino-acid sequences. The measured frequency and probability were compared with predicted frequency and probability. Of 232 two-amino-acid sequences in human tumour necrosis factor, 64 (27.586%) and 24 (10.345%) sequences can be explained by the predicted frequency and the predicted probability according to a purely random mechanism. Of 243 non-appeared two-amino-acid sequences in human tumour necrosis factor, 176 (72. 428%) and 42 (17.284%) sequences can be explained by the predicted frequency and the predicted probability according to a purely random mechanism. No measured Markov transition probability matches the predicted conditional probability. No more-than-two-amino-acid sequences can be explained by a purely random mechanism.
