Closed Yueming-Yin closed 1 year ago
While raw poses might be the best in terms of RMSD, they might exhibit unwanted physical characteristics such as dubious bond lengths, angles, etc.. https://arxiv.org/abs/2308.05777 suggests a number of additional metrics in this direction.
- Uncorrected: Pose predicted from model, without any modification
- FF: Ligand pose post-processed with MMFF94 optimization in RDKit (ignoring protein)
- Aligned: RDKit-generated conformations transformed and aligned to model prediction using Kabsch algorithm
While raw poses might be the best in terms of RMSD, they might exhibit unwanted physical characteristics such as dubious bond lengths, angles, etc.. https://arxiv.org/abs/2308.05777 suggests a number of additional metrics in this direction.
Hi, Yueming-Yin
Thank you for your query. I'd like to provide some clarifications:
Best regards, Xujun
I apologize, but I do not have permission to access your paper, and the meanings of "pred_align_corrected," "pred_ff_corrected," and "pred_uncorrected" poses generated for each molecule are not entirely clear to me.
Based on the results I have reproduced from PDBBind, it appears that "pred_uncorrected" has the highest accuracy and success rate. Does this imply that the "pred_uncorrected" pose is the best, and can I only consider the "pred_uncorrected" pose for my subsequent analysis?