MA and DLM gratefully acknowledge support from NIH grant R01GM124270 supporting the SAMPL Blind Challenges. We appreciate the laboratories Lyle Isaacs (Maryland) and Bruce Gibb (Tulane) for providing experimental data for the challenge. We appreciate the laboratory of Michael Gilson (UCSD), particularly Jeffry Setiadi, for their support and guidance in using the pAPRika toolkit, applying the APR method, and for helpful discussions. We appreciate all participants for their time and contribution to the SAMPL challenges. We also acknowledge Andrea Rizzi for scripting the initial code for automated statistical analysis of SAMPL submissions, which has been updated and used in the recent SAMPL challenges. We are also grateful to OpenEye Scientific for providing a free academic software license for use in this work.