An experiment is performed to test a suggested mechanism for an enzyme-catalyzed reaction. The results fit the model exactly (to within experimental error). Do the results prove that the model is correct? Why or why not?

Biochemistry
9th Edition
ISBN:9781319114671
Author:Lubert Stryer, Jeremy M. Berg, John L. Tymoczko, Gregory J. Gatto Jr.
Publisher:Lubert Stryer, Jeremy M. Berg, John L. Tymoczko, Gregory J. Gatto Jr.
Chapter1: Biochemistry: An Evolving Science
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**Title: Evaluating Experimental Results in Enzyme-Catalyzed Reactions**

**7-52: Understanding the Validity of Experimental Models**

An experiment is conducted to assess a proposed mechanism for an enzyme-catalyzed reaction. The outcomes closely align with the model, fitting exactly within the limits of experimental error. The question arises: Do these results confirm that the model is accurate? Why or why not?

**Discussion:**

In the context of scientific experimentation, when results fit a model perfectly within the margin of experimental error, it might initially suggest validity. However, several factors must be considered:

1. **Reproducibility and Variability:** Consistent results across multiple trials and varying conditions strengthen the evidence.
   
2. **Alternative Models:** Consideration of other models or explanations that could potentially fit the data equally well.

3. **Scope and Limitations:** Evaluating whether the experiment investigates all relevant aspects of the mechanism.

4. **Error Analysis:** Understanding the nature and potential sources of any experimental error.

While fitting within experimental error is promising, it is not definitive proof of the model's correctness. Further investigation and scrutiny are necessary for robust validation.
Transcribed Image Text:**Title: Evaluating Experimental Results in Enzyme-Catalyzed Reactions** **7-52: Understanding the Validity of Experimental Models** An experiment is conducted to assess a proposed mechanism for an enzyme-catalyzed reaction. The outcomes closely align with the model, fitting exactly within the limits of experimental error. The question arises: Do these results confirm that the model is accurate? Why or why not? **Discussion:** In the context of scientific experimentation, when results fit a model perfectly within the margin of experimental error, it might initially suggest validity. However, several factors must be considered: 1. **Reproducibility and Variability:** Consistent results across multiple trials and varying conditions strengthen the evidence. 2. **Alternative Models:** Consideration of other models or explanations that could potentially fit the data equally well. 3. **Scope and Limitations:** Evaluating whether the experiment investigates all relevant aspects of the mechanism. 4. **Error Analysis:** Understanding the nature and potential sources of any experimental error. While fitting within experimental error is promising, it is not definitive proof of the model's correctness. Further investigation and scrutiny are necessary for robust validation.
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