Wu G
Advanced 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.
Cancer Lett. 2000 May 29;153(1-2):145-50. doi: 10.1016/s0304-3835(00)00394-3.
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.
根据二氨基酸序列和三氨基酸序列测定了人类肿瘤坏死因子的氨基酸序列。将测得的频率和概率与预测的频率和概率进行了比较。在人类肿瘤坏死因子的232个二氨基酸序列中，根据纯随机机制，64个（27.586%）和24个（10.345%）序列可以用预测频率和预测概率来解释。在人类肿瘤坏死因子中未出现的243个二氨基酸序列中，根据纯随机机制，176个（72.428%）和42个（17.284%）序列可以用预测频率和预测概率来解释。没有测得的马尔可夫转移概率与预测的条件概率相匹配。超过两个氨基酸的序列不能用纯随机机制来解释。
