SAMPL6 logP Challenge
In coordination with Terry Stouch, we are planning a special issue of J. Comp. Aided Mol. Design (JCAMD) focused on the SAMPL6 LogP challenge. The submission deadline for this is Sept. 15, 2019, with submissions opening prior to our August 2019 workshop for those who would like to submit early. As usual, papers are expected to appear online in advance of their publication in the special issue as soon as they are ready unless otherwise requested.
General plans for future special issues
We plan to continue running SAMPL special issues and special sections in partnership with JCAMD. We expect that, with each individual challenge, we will announce a submission deadline. When multiple challenges/challenge components occur around the same time, these will likely be coupled into a single special issue, whereas if challenges are quite disparate in timing they will be split across separate issues or special sections in a regular issue.
We expect to typically have two special issues or special sections per year in JCAMD except if/when all challenges in a given year end up occurring around the same time, in which case a single issue may be sufficient.
The distinction between special issues and special sections is planned to be driven by participation/submission rate; when enough papers are submitted, we plan on a special issue, but will fall back to a special section of the journal when this is not the case.
In general, submission deadlines are firm; papers submitted late are not guaranteed to be included in the same special issue or special section, though in some cases they may be if they make it through the review process rapidly enough. Most late papers will be published in the next regular issue(s) or in a future SAMPL special issue or section if it is soon, at the discretion of the editor and guest editor in consultation with the author.
Review criteria for special issues
In general, review criteria for SAMPL special issues are modestly different than for typical journal publications. Specifically, since these are blind prediction challenges, the community feeling has been that participants should be entitled to report what they did even if the reviewers might feel that it was ill advised, not particularly novel/exciting, or had modest had technical problems. However, papers must still:
- fairly report their results, without overselling or giving an unwarranted sales pitch
- clearly identify and discuss any technical flaws reviews or others might have highlighted
- provide adequate details (and supporting materials) so that others can reproduce the work
and otherwise ensure that they meet the standards of the journal.
Additionally, as a particular focus of SAMPL is on lessons learned, authors are urged to pay devote careful attention to highlighting what was learned from participation and how it might be of benefit to the field or to others employing similar methodologies.