Hi, I am new to using alphafold for prediction, i tried today with a reasonable size model ( 400 AA ) of a kinase domain. i opted to use 'high RAM " available on colab pro and after running for an few hours , the job stops without any error, the colab notebook had disconnected due to inactivity and it did not generate any models. please share with me your experience of using alphafold from within chimerax , helpful tips to get the job to finish . here is the output ( output on google colab): Sequence length 401 Have Colab GPU runtime Installing HMMER for computing sequence alignments Installing matplotlib to plot sequence alignment coverage Installing AlphaFold Installing OpenMM for structure energy minimization Finding fastest mirror for sequence databases using united states Searching sequence databases (147 Gbytes). Search will take 29 minutes or more. Searching uniref90 sequence database, 59 Gbytes 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 Searching smallbfd sequence database, 17 Gbytes 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Searching mgnify sequence database, 71 Gbytes 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 Computing multiple sequence alignment 327620 similar sequences found (311112 uniref90, 16008 smallbfd, 500 mgnify) [cid:4e178c51-cd4c-4958-b2e8-fa714cbfcd07] Computing structures using 5 AlphaFold parameter sets: model_1 thanks a lot again for all your support, best amith
