There are many algorithms available online that let you assess the potential effects of a SNP or an amino acid substitution on protein function (phenotype). Some are based on sequence homology alone, some include structure and others use machine learning algorithms to include many different variables.
Which one/ones do you prefer, in terms of scientific basis, ease of use and scale of data handled etc.?
The ones I am aware of are