NeuroPred: a tool to predict cleavage sites in neuropeptide precursors and provide the masses of the resulting peptides.
NeuroPred: a tool to predict cleavage sites in neuropeptide precursors and provide the masses of the resulting peptides.
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DOI：
10.1093/nar/gkl161
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发表时间：
2006-07-01
影响因子：
14.9
通讯作者：
Sweedler JV
中科院分区：
文献类型：
--
作者：
Southey BR;Amare A;Zimmerman TA;Rodriguez-Zas SL;Sweedler JV
NeuroPred是一个网络应用程序，旨在预测神经肽前体序列中基本氨基酸位置的切割位点。用户可以同时研究一个氨基酸序列或多个序列，从多个预测模型和可选的用户自定义函数中进行选择。逻辑回归模型的实验验证或公布的裂解数据从软体动物，哺乳动物和昆虫，和氨基酸基序报道与裂解。裂解概率的置信区间限度表明预测的精度;根据用户定义的阈值，将这些预测转化为裂解或非裂解事件。除了前体序列，NeuroPred接受用户指定的裂解信息，提供基于观察和预测裂解的模型准确性统计。Neuropred还计算预测肽的质量，包括用户可选择的翻译后修饰。由此产生的质量列表有助于使用质谱技术发现和确认新的神经肽。NeuroPred应用程序，手册，参考手稿和培训序列可在。
NeuroPred is a web application designed to predict cleavage sites at basic amino acid locations in neuropeptide precursor sequences. The user can study one amino acid sequence or multiple sequences simultaneously, selecting from several prediction models and optional, user-defined functions. Logistic regression models are trained on experimentally verified or published cleavage data from mollusks, mammals and insects, and amino acid motifs reported to be associated with cleavage. Confidence interval limits of the probabilities of cleavage indicate the precision of the predictions; these predictions are transformed into cleavage or non-cleavage events according to user-defined thresholds. In addition to the precursor sequence, NeuroPred accepts user-specified cleavage information, providing model accuracy statistics based on observed and predicted cleavages. Neuropred also computes the mass of the predicted peptides, including user-selectable post-translational modifications. The resulting mass list aids the discovery and confirmation of new neuropeptides using mass spectrometry techniques. The NeuroPred application, manual, reference manuscripts and training sequences are available at .
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影响因子：
2.3
作者：
Che, FY;Biswas, R;Fricker, LD
通讯作者：
Fricker, LD
DOI：
10.1038/nsb941
发表时间：
2003-07-01
期刊：
NATURE STRUCTURAL BIOLOGY
影响因子：
--
作者：
Henrich, S;Cameron, A;Than, ME
通讯作者：
Than, ME
影响因子：
4.4
作者：
Hummon, AB;Hummon, NP;Sweedler, JV
通讯作者：
Sweedler, JV
影响因子：
2.3
作者：
Baggerman, G;Boonen, K;Schoofs, L
通讯作者：
Schoofs, L
影响因子：
7.4
作者：
Haskins, WE;Watson, CJ;Kennedy, RT
通讯作者：
Kennedy, RT