This Thursday, I will present @UNSWBABS our research on #MachineLearning guided peptide design and how we monitor existing #bias in biological data and tackle it to develop more informed ML/DL models. #XAI #AMR #peptide2drug

Frontiers | Antimicrobial peptides in livestock: a review with a one health approach Antimicrobial peptides (AMPs), often referred to as nature’s antibiotics, are ubiquitous in living organisms, spanning from bacteria to humans. Their potency...

With @OscarRoblz, @osunasquare and Dra. Carolina Barrientos Salcedo, we reviewed the applications of AMPs in livestock #peptide2drug #AMR #OneHealth #FoodSecurity - finally out @FrontiersIn Cellular and Infection Microbiology - check out

doi.org/10.3389/fcimb.…

Responsible AI x Biodesign Community Statement on the Responsible Development of AI for Protein Design

I am proud to have signed thecommunity statement and initiated @UWproteindesign on Community Values, Guiding Principles, and Commitments for the Responsible Development of AI for Protein Design. #peptide2drug #responsibleAI #biodesign #ethicaltech

responsiblebiodesign.ai

- Structure-specific models outperform parent models - - Structure-agnostic models (using data reduction) lead to information loss.

#artificialintelligence #peptide2drug #explainableai
#alphafold #AMR
(3/3)

Applying #AI #MachineLearning for #peptide2drug, you have a few more days to submit your articles to our research topic in Frontiers in Drug Discovery. Visit

frontiersin.org/research-topic…

Accelerating the Discovery and Design of Antimicrobial Peptides with A Peptides modulate many processes of human physiology targeting ion channels, protein receptors, or enzymes. They represent valuable starting points for the development of new biologics against communicable and non-communicable disorders. However, turning native...

Happy Monday! @sakmae @lncancelarich @marielamarani @delafuenteupenn Our book chapter "Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence" is finally out. #AMR #MachineLearning #peptide2drug Read more at

doi.org/10.1007/978-1-…

Mapping the structure–activity landscape of non-canonical peptides with MAP4 fingerprinting Peptide structure–activity/property relationship (P-SA/PR) studies focus on understanding how the structural variations of peptides influence their biological activities and other functional properties. This knowledge accelerates the rational design and optimisation of peptide-based drugs, biomaterials, or d

Excellent collaboration with @difacquim @EdgarLpezLpez10 & @OscarRoblz on "mapping the structure-activity landscape of peptides with non-canonical residues" #peptide2drug #MRSA #dataviz

doi.org/10.1039/D3DD00…

With the goal to develop #MachineLearning models to design cell-selective anticancer peptides, this study explores the potency and selectivity of 138 mACPs towards 77 cancer cell lines using pIC50 values. #peptide2drug

Deconstructing the potency and cell-line selectivity of membranolytic anticancer peptides Current cancer treatments damage healthy cells and tissues, causing short-term and long-term side effects. New treatments are desired that show greater selectivity toward cancer cells and evade the common mechanisms of multidrug resistance. Membranolytic anticancer peptides (mACPs) hold promise against cancer and multidrug resistance. The amphipathicity, hydrophobicity, and net charge of mACPs are all known to play a role in their respective interactions with cell membranes and the overall biological inhibition of cancer cells, but they are insufficient to explain their cell-line selectivity. To support the design of cell-line selective mACPs, we investigated the relationships that peptide features (amino acid composition, physicochemical properties, sequence motifs and sequence homology) could have with their potency and selectivity towards several healthy and cancer cell lines. Hydrophobicity, net charge and the presence of small and aliphatic residues influenced the potency and selectivity of mACPs across cancer cell lines in a cell-specific manner.

With two of my students, @sakmae & Cristina Martínez-Hernandez, we explore the potency and cell-line selectivity of membranolytic peptides across 77 cancer cell lines #peptide2drug #DataScience #eda Available in @ChemRxiv

chemrxiv.org/engage/chemrxi…

Excited to be presenting "#AI-driven peptide design - opportunities and limitations" @cimatoficial as part of the @muframex 2nd Thematic School on Deep Generative Models #machinelearning #GenerativeAI
#peptide2drug #AntimicrobialResistance

AI, AMPs, and Peptide Discovery by Exploration Science with Dr. Wendy Hartsock and Dr. Diedra Shorty In this episode of Exploration Science, Professors César de la Fuente from the University of Pennsylvania and Fabien Plisson from CINVESTAV discuss their pursuit of antimicrobial agents and the utility of AI/ML for peptide discovery. Links: Juan CarlosGuido-Patiñoa and FabienPlisson. Profiling hymenopteran venom toxins: Protein families, structural landscape, biological activities, and pharmacological benefits. Toxicon: 10, 14 (2022), 100119. https://doi.org/10.1016/j.toxcx.2022.100119 https://delafuentelab.seas.upenn.edu/research/

I felt honoured to participate in @HartsockWendy podcast "Exploration Science" alongside @delafuenteupenn, talking about the emerging field of #AI peptide design and its applications in human health, livestock and agriculture #peptide2drug #peptide4crops

ow.ly/3uw550LwT4J

Two days of #DíaAbierto @CinvestavIra and @uga_langebio teaching families, young scholars and parents the beauty of peptides and proteins in nature #venom #antibiotics #peptide2drug #peptide4crops with a series of activities 1/n

Now, @DanielAldas is introducing #MachineLearning algorithms to predict the antimicrobial activity of peptide sequences #RIIAA2022 Summer School #peptide2drug . To DIY with Google Colab, follow our Github repo

github.com/plissonf/RIIAA…

Very pleased to see @TheCraikGroup @ARC_CIPPS leading the production of cyclic peptides in plants for the development of affordable & edible therapeutics #peptide2drug. A great way to tackle #T2DM and #obesity crises in most countries including Mexico.

Seeing the research advances of our collaborator @PaulaGomes_FCUP presenting the discovery of antimicrobial and antileishmanial peptides from the Amazon amphibians and reptiles #EPS2022 @EurPepSoc #peptide2drug

Markus Muttenthaler | Neuropeptide Research Lab | Queensland | Vienna The Neuropeptide Research lab led by A/Prof Markus Muttenthaler has expertise in probe development,peptide drug discovery,medicinal chemistry & chemical biology

Very glad to see the research advances of long-time friend Markus Muttenthaler @ARC_CIPPS and his lab on the discovery and design of highly stable peptides to treat gut-related disorders #peptide2drug #EPS2022 @EurPepSoc

neuropeptidelab.com

...and as potential Cystic Fibrosis treatment #peptide2drug

Come and see our #EPS2022 posters P345-P347 @EurPepSoc talking about #MachineLearning in AMP design & ant venomics #peptide2drug

Nice surprise today in the mail , @RoySocChem these books made it to Mexico. Perfect addition to our @peptidicos lab's book collection #peptide2drug #membranopathy

Retour aux sources pour montrer les pouvoirs et limites de l'#intelligenceartificielle appliqués aux peptides devant ami(e)s et connaissances de longue date @VezenkovL @enscmchimiemtp @TeamPeptide #peptide2drug #Artificial_Intelligence #MachineLearning

Excellente visite @ICSN_lab pour discuter #intelligenceartificielle en #naturalproducts #drugdiscovery avec Dr. Fanny Roussi et Dr. Sandy Desrat (photo) et parler synthèse et peptides vectorisés avec Dr. Stéphanie Deville-Foillard #peptide2drug

Gracias @thedatapub por la invitación. Me gusto mucho presentar nuestro trabajo de investigación @peptidicos mezclando ingeniería proteíca #peptide2drug y inteligencia artificial #machinelearning #AI

youtu.be/sgO_dmmYvFY