HADDOCK2.4 Job Stuck in 'Queued' Status for Several Days - Seeking Assistance

Dear HADDOCK Support Team and Community,

I am a Master’s student currently using the HADDOCK web server (specifically HADDOCK2.4) for my research on protein-glycan docking simulations.

I have been successfully utilizing the server for the past couple of weeks, accessing it through my university network. Previously, my jobs would typically run and provide results within a reasonable timeframe, usually 4-6 hours.

The Issue

  • Timeline: Starting approximately five days ago, all my submitted jobs have been permanently stuck with the status: “Status: Queued”.

  • Context: This is happening despite using the exact same network connection and computer that I used successfully before this issue arose.

  • Attempted Solutions: I have tried deleting and resubmitting the jobs multiple times, but the outcome remains the same—they immediately go into a prolonged ‘Queued’ state without ever starting the calculation.

Request for Help

  • What steps can I take to resolve this and allow my HADDOCK2.4 jobs to start running again?

Any guidance or information on the current server status would be highly appreciated. I am currently unable to utilize HADDOCK2.4 for my simulations.

Thank you very much for your time and assistance.

Best regards, wengh

The HADDOCK category is meant to discuss any HADDOCK-related issue. For general information about HADDOCK refer to HADDOCK – Bonvin Lab

I am having the same issue, and it started around the same time

Dear all

Because of unforeseen issues with the HTC infrastructure used to execute HADDOCK workloads, the server capacity is currently limited, which has caused a long queue of submissions. We hope the situation will revert to normal soon, but this is not something we have under our control.

I appreaciate the answer!

Apologies, I just saw this. Thank you very much for the update!

Has it returned to normal? I encountered the same problem and submitted the file around 23:00 on November 5th.

The situation has improved indeed - still some issues, but enough throughput for now.