alphapeptdeep
alphapeptdeep copied to clipboard
Supported fragmentlosstype?
Hi
Thanks for your work in Alphapeptdeep. I found a tsv_str your provided in the /nbdev_nbs/pipeline_api.ipynb containing 'noloss, H3PO4, 1(+H2+O)1(+H3+O4+P)' in the FragmentLossType column. I wonder whether peptdeep supports the fragmentlloss such as 'H2O, NH3' which means loss of 18 and 17 in mass?
Thanks very much!
Best wishes Xiaoxiang
No, we did not train model for H2O and NH3 losses
In principle, it is very easy to train a new model for H2O and NH3 losses, I am just not sure if it is very necessary
OK, thanks again!
I will write a comprehensive tutorial about alphabase/alpharaw/peptdeep