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• EnzFitter是一款通用的曲線擬合軟件，特別適用于分析酶動力學實驗。內置模塊包括有或沒有底物抑制/非競爭以及混合抑制的米式方程等模塊，并可以自定義添加模塊，非常適用于酶動力學實驗分析，例如：通過對單個或兩個基層數率的置信界限得到開始的比率和參數值。
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• EnzFitter內置強大的功能，可以批處理模式運行，并且支持OLE自動化。可以根據擬合的標準曲線計算未知數。可以創建附加到任何文件，數據或曲線擬合的文本注釋。
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• Biosoft EnzFitter主要特性：
• 1. EnzFitter是一種通用的曲線擬合軟件包，具有專門設計用于特別適用于酶動力學實驗分子的自定義功能。例如，初始速率和參數值可以通過他們對于單基質速率數據和雙基質速率數據的置信限來獲得。內置模型包括具有或不具有底物抑制作用的Michaelis-Menten，競爭性，無競爭性和混合抑制作用，三元復合物或有序bi-bi系統以及有和無底物抑制的乒乓球。您可以使用傳統的代數語法輕松添加其他模型。
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• 2. 數據導入格式包括EnzFitter for DOS文件以及ASCII分隔符，dBase，FoxPro，Excel，Quattro Pro，Lotus123，Paradox和Symphony。文件和數據集大小僅受可用內存的限制，并且可以為每個文件創建多個數據集。有先進的數據編輯功能，包括：插入/編輯/刪除點，復制和移動數據塊和編輯列標題。照顧缺少數據和復制品。可以顯示和導出數據的描述性統計工具。工作表使可自定義的（例如字體，顏色，邊框，行高和列寬），當打印數據時，可以給自定義頁眉或頁腳。您可以隨時插入新的列或行。提供了許多數據轉換，或者您可以創建自己的轉換方程。您可以為經常使用的數據格式創建模板，并結合圖模板實現常規檢測的自動化。
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• 3. 可以使用Marquardt或Simplex算法對任何數據集執行多重曲線擬合。可以對數據進行穩健，統計，比例或顯式值加權。遺傳算法可以生成出色的初始參數估計值，但參數可以被限制在一定范圍內，或者在必要時固定。結果以表格和圖形形式呈現，并可以繪制原始數據和擬合數據的推行，并且為了區分數據集，您可以選擇各種符號，半連續線和添加標簽。可以在主圖上插入額外數據集的附屬圖，相同數據的殘差和變換/衍生圖。
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• 4. EnzFitter可以設置為以批處理模式運行（自動執行多個分析，無需用戶干預），并且還支持OLE自動化。對于更一般的化驗用途，您可以根據擬合的標準曲線計算未知數。您可以創建附加到任何文件，數據集或曲線擬合的文本注釋。還有一個自動記錄日志記錄對給定文件所做的所有更改。
• Enzyme Kinetics and Curve Fitting
• EnzFitter is a generic curve-fitting package which has custom features designed to make it especially suitable for analysis of enzyme kinetics experiments. For example, initial rate and parameter values can be obtained with their confidence limits for single and twin substrate rate data. Built-in models include Michaelis-Menten with or without substrate inhibition, competitive, uncompetitive and mixed inhibition, ternary complex or ordered bi-bi systems and ping-pong with and without inhibition by substrates. You can easily add other models in conventional algebraic syntax.
• Data import formats include EnzFitter for DOS files as well as ASCII delimited, dBase, FoxPro, Excel, Quattro Pro, Lotus 123, Paradox and Symphony. File and dataset sizes are limited only by available memory and multiple data sets can be created for each file. There are advanced data editing facilities including: insert/edit/remove points, copy and move blocks of data and edit column titles. Missing data and replicates are catered for. Descriptive statistics of the data can be displayed and exported. The worksheet is customizable (e.g. font, colors, borders, row height and column width) and when data are printed they can be given custom headers or footers. You can insert new columns or rows at any time. Many data transforms are supplied or you can create your own equations for transforms. You can create templates for data formats you use frequently which, combined with graph templates virtually automate routine assays.
  
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• Multiple curve fits can be performed for any data set using either the Marquardt or Simplex algorithms. Optionally, data can be weighted robustly, statistically, proportionally or with explicit values. A genetic algorithm generates excellent initial parameter estimates but parameters can be constrained to a range of values or fixed when necessary. The results are presented in tabular and graphic form and can be saved to disk, printed or exported to other programs. Export formats include, for graphs, Bitmaps, Metafiles, JPG or TIF and, for numeric results, ASCII delimited and Excel. Graphs of raw and fitted data can be plotted and, to distinguish datasets, you can select a variety of symbols, semi-continuous lines and also add labels. Subsidiary graphs of extra sets of data, residuals and transformed /derivative plots of the same data can be inset on the main graph.
• EnzFitter can be set up to run in batch mode (performing several analyses automatically, without user intervention) and it also supports OLE Automation. For more general assay use, you can calculate unknowns from fitted standard curves. You can create text Notes that are attached to any file, dataset or curve fit. There is also an automatic Logbook which records all changes made to a given file.