u/Decent-Tea-8744

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I’ve been thinking a lot lately about how many small repetitive tasks eat up time in structural biology/computational workflows, especially the things that aren’t “hard science” but still somehow take hours every week.

Things like:

• file conversions/cleanup
• repetitive PyMOL scripting
• structure preprocessing
• batch analyses
• figure generation
• parsing messy outputs
• chain renumbering
• trajectory analysis
• moving data between incompatible tools

Curious what people here find most annoying or time-consuming in their day-to-day work.