Replace the value of a column which is close match to another column in pandas

Question

There is a dataframe as follows:

ID   Mat_Des                             Matched_Des                         Price    Score
1    4-STROKE 25HP OB MOTOR FOR GEMINI   4- STROKE 25 HP OB MOTER FOR GEMNI  10000      100
2    OBS for 25HP OBM                    STANDARD TOOL KIT                    5000       94
3    Accessories for 25HP OBM            SERVICE ENGINEERING                  5000       54
4    Standard Tool Kit for 25HP OBM      PBS DOCUMENTATION                    1000
5    OWNER’S MANUAL (IN ENGLISH)

The Score is derivation from a fuzzy matching logic which matches Mat_Des and Matched_Des using fuzz.partial_ratio and set threshold to 85. I want a resultant dataframe where Matched_Des column would be dropped. But the Price would be plotted accordingly. So the resultant dataframe would be

ID   Mat_Des                               Price
1    4-STROKE 25HP OB MOTOR FOR GEMINI     10000
2    OBS for 25HP OBM                       5000
3    Accessories for 25HP OBM                 0               
4    Standard Tool Kit for 25HP OBM         5000    
5    OWNER’S MANUAL (IN ENGLISH)              0

Please note that for Mat_Des "Standard Tool Kit for 25HP OBM" the Price is plotted as 5000. Because it was for "Standard Tool Kit" under Matched_Des.

To start I want to use a similar approach like:

 df['Mat_Des'] = np.where(df['Score']>85, df['Matched_Des'],df['Mat_Des'])

But the above approach would replace OBS for 25HP OBM by STANDARD TOOL KIT.

Any clue on how to address this?