Estimation of suitable significance level for high numbers of experiments

I am a scientist and work with high numbers of experiments.

For example:
I have tested 1000 different parameters between 2 groups. I found 10 parameters, which are significantly different between the tested groups with a significance level of 5%. For only 1 tested parameter it would be good, but the chance for a false positive result in the whole experiment is quite high.

Is it correct to calculate the necessary significance level by using n=1000
, k=0 and check for p where f(n,k,p)<0.05?

Thank you in advance