Human secretory signal peptide description by hidden Markov model and generation of a strong artificial signal peptide for secreted protein expression
Human secretory signal peptide description by hidden Markov model and generation of a strong artificial signal peptide for secreted protein expression
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DOI：
10.1016/s0006-291x(02)00566-1
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发表时间：
2002-06-21
影响因子：
3.1
通讯作者：
Shi, YG
中科院分区：
文献类型：
--
作者：
Barash, S;Wang, W;Shi, YG
隐马尔可夫模型（HMM）已被用来描述，预测，识别，并产生分泌信号肽序列。从人信号肽HMM（SP-HMM）发出的人工分泌信号的相对强度与它们的HMM位分数相关，如通过它们对指导碱性磷酸酶分泌的有效性所确定的。信号强度的本质实际上是与共识的接近程度。实验确定HMM位分数8是用于区分信号序列与非分泌序列的阈值。选择一个人工SP-HMM生成的最大模型位分数（HMM + 38）的信号序列作为理想的人体信号序列。该信号肽（分泌因子）指导强蛋白质分泌和表达。我们进一步通过SP-HMM位评分对已知人类分泌蛋白的信号肽的信号强度进行排名。讨论了高位评分HMM信号在重组蛋白生产和蛋白质工程中的应用。(C)2002 Elsevier Science（美国）。All rights reserved.
A hidden Markov model (HMM) has been used to describe, predict, identify, and generate secretory signal peptide sequences. The relative strengths of artificial secretory signals emitted from the human signal peptide HMM (SP-HMM) correlate with their HMM bit scores as determined by their effectiveness to direct alkaline phosphatase secretion. The nature of the signal strength is in effect the closeness to the consensus. The HMM bit score of 8 is experimentally determined to be the threshold for discriminating signal sequences from non-secretory ones. An artificial SP-HMM generated signal sequence of the maximum model bit score (HMM + 38) was selected as an ideal human signal sequence. This signal peptide (secrecon) directs strong protein secretion and expression. We further ranked the signal strengths of the signal peptides of the known human secretory proteins by SP-HMM bit scores. The applications of high-bit scoring HMM signals in recombinant protein production and protein engineering are discussed. (C) 2002 Elsevier Science (USA). All rights reserved.