From 6bc68b24df19876977a2eef509f02fe0363fa736 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ren=C3=A9?= Date: Fri, 21 Jun 2024 07:29:02 -0700 Subject: [PATCH] unpublish changes (until ms are available) --- 2024-06-21-AMPedUpPublished.md | 7 +++++++ ...-21-tAMPerPublished.md => 2024-06-21-tAMPerPublished.md | 0 _posts/2024-06-21-AMPedUpPublished.md | 7 ------- 3 files changed, 7 insertions(+), 7 deletions(-) create mode 100644 2024-06-21-AMPedUpPublished.md rename _posts/2024-06-21-tAMPerPublished.md => 2024-06-21-tAMPerPublished.md (100%) delete mode 100644 _posts/2024-06-21-AMPedUpPublished.md diff --git a/2024-06-21-AMPedUpPublished.md b/2024-06-21-AMPedUpPublished.md new file mode 100644 index 0000000..9a4563e --- /dev/null +++ b/2024-06-21-AMPedUpPublished.md @@ -0,0 +1,7 @@ +--- +layout: post +title: "Introducing AMPd-Up - Enhancing De Novo Antimicrobial Peptide Design" +category: news +--- + +We are excited to share the publication of "De novo synthetic antimicrobial peptide design with a recurrent neural network" in the journal [Protein Science](https://doi.org/10.1002/pro.5088). In our study, we introduce [AMPd-Up](https://github.com/bcgsc/ampd-up), a recurrent neural network tool developed for de novo antimicrobial peptide (AMP) design. AMPd-Up utilizes in silico sequence generation to efficiently explore the vast sequence space of AMPs. Validation through antimicrobial susceptibility testing demonstrated that 40 out of 58 sequences designed by AMPd-Up exhibited antimicrobial activity against Escherichia coli and/or Staphylococcus aureus. This approach showcases AMPd-Up's potential to facilitate the creation of novel synthetic AMPs with potent antimicrobial properties. For further details on AMPd-Up and its implications for antimicrobial peptide research, read the [full article](https://doi.org/10.1002/pro.5088)! diff --git a/_posts/2024-06-21-tAMPerPublished.md b/2024-06-21-tAMPerPublished.md similarity index 100% rename from _posts/2024-06-21-tAMPerPublished.md rename to 2024-06-21-tAMPerPublished.md diff --git a/_posts/2024-06-21-AMPedUpPublished.md b/_posts/2024-06-21-AMPedUpPublished.md deleted file mode 100644 index 7912a08..0000000 --- a/_posts/2024-06-21-AMPedUpPublished.md +++ /dev/null @@ -1,7 +0,0 @@ ---- -layout: post -title: "Introducing AMPd-Up - Enhancing De Novo Antimicrobial Peptide Design" -category: news ---- - -We are pleased to announce the publication of "De novo synthetic antimicrobial peptide design with a recurrent neural network." in the journal [Protein Science](https://doi.org/10.1002/pro.5088). In our study, we introduce [AMPd-Up](https://github.com/bcgsc/ampd-up), a recurrent neural network tool developed for de novo antimicrobial peptide (AMP) design. AMPd-Up utilizes in silico sequence generation to efficiently explore the vast sequence space of AMPs. Validation through antimicrobial susceptibility testing demonstrated that 40 out of 58 sequences designed by AMPd-Up exhibited antimicrobial activity against Escherichia coli and/or Staphylococcus aureus. This approach showcases AMPd-Up's potential to facilitate the creation of novel synthetic AMPs with potent antimicrobial properties. For further details on AMPd-Up and its implications for antimicrobial peptide research, read the [full article](https://doi.org/10.1002/pro.5088)!