To collect software for the prediction of peptide activities, we -searched PubMed and Google Scholar databases using queries such as -“antimicrobial peptide prediction”, “anticancer peptide prediction”, -etc. We focused on the search results that described software or -reviewed/compared available tools for the prediction of a given -activity.
-Eligibility criteria:
-We manually curated all information for software featured in a -‘Software information’ tab. To do that we carefully analysed -publications describing given software looking for the following -information:
-Then, we checked if the links to the web servers provided in the -articles were still working and if they function correctly, i.e. provide -understandable output after running prediction. This information is -indicated in the Web server activity and Web -server functionality columns, respectively.
-The availability of web servers was assessed on October 14th, 2022. -The year of publication and the number of citations were obtained from -CrossRef on October 14th, 2022.
-We also inspected available code to determine the reproducibility -standard (adapted from Heil et al. and -indicated in the Reproducibility standard column). We -are additionally using the category below bronze, when a model -does not fulfill criteria even for the bronze category.
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