Which of the following is INCORRECT for the lock-and-key model?

Which of the following is INCORRECT for the lock-and-key model? Correct Answer The binding of the substrate produces a conformational change in enzyme

Lock-and-key model is used to describe the enzyme-substrate complex. It is the binding process where the active site of an enzyme is complementary to the shape of the substrate. The binding of the substrate produces a conformational change in the enzyme is incorrect as the confirmation of enzyme changes only in the induced fit model.
Bissoy MCQ

Related Questions

The Weberian model of bureaucracy has been criticised from a variety of stand points.
Consider the following points in this regard:
1. The Weberian model appears to be a 'machine theory' and a closed system model taking little account of organisational interactions with the environment.
2. The structural features of bureaucracy as laid down by Weber might be suitable for routine and repetitive tasks but these would produce dysfunctional consequences in terms of human behaviour if the jobs would involve innovation and creativity.
3. Weberian model has not been found to respond adequately to the tasks of socioeconomic transformation in the developing countries. These tasks require quick changes whereas the capacity of the Weberian model for adaptation to change is rather slow.
4. Weber's model is confined to the study of formal bureaucratic structure and fails to take notice of the informal structure of bureauracy such as informal relations, informal norms and values, an informal power hierarchy and informal power struggles.
Which of the above points make a valid criticism of the Weberian model? Select the correct answer from below:
Which of the following statements about object model is true? I. Object model encourages the reuse of software and entire design of the application. II. Object model produces systems that are built upon stable intermediate forms. III. Object model reduce the inherent in developing complex systems. IV. None of the mentioned
A company has build a kNN classifier that gets 100% accuracy on training data. When they deployed this model on client side it has been found that the model is not at all accurate. Which of the following thing might gone wrong? Note: Model has successfully deployed and no technical issues are found at client side except the model performance
Which one of the following growth models includes the population growth function?
I. Classical model
II. Harrod-Domar model
III. Neo-classical model
IV. Schumpeter model
Which of the following are the models of reforms identified by Peters as alternatives to the traditional public administration?
1. Market Model
2. Participatory State Model
3. Flexible Government Model
4. Deregulated Government Model
Select the correct answer:
Despite differences in cost of production the oligopolists win not vary the prices of their products as per which combination of the following models?
1. Collusion model
2. Cournot's model
3. Kinked Demand model
4. Price Leadership model
Select the correct option:
Though the applicability of the realizable k-ε model and the RNG k-ε model are almost the same, the realizable k-ε model is ___________ when compared to the RNG k-ε model.
What is/are true about ridge regression?
1. When lambda is 0, model works like linear regression model
2. When lambda is 0, model doesn't work like linear regression model
3. When lambda goes to infinity, we get very, very small coefficients approaching
04. When lambda goes to infinity, we get very, very large coefficients approaching infinity.
Which of the following statements are correct?
1. Dividend payout ratio refers to that portion of total earnings which is distributed among equity shareholders of the company
2. 'Bird in hand' argument is given by Gordon's model
3. MM model suggest that dividend payment is very relevant for value of the firm
4. Walter's Model suggests that dividend payment does not affect the market price of the share
Assume that you are given a data set and a neural network model trained on the data set. You are asked to build a decision tree model with the sole purpose of understanding/interpreting the built neural network model. In such a scenario, which among the following measures would you concentrate most on optimising?