Research [ASAP] A Deep-Learning-Based Server SecEff-Pred for Predicting Signal Peptide Secretion Efficiency to Improve Protein Production in Bacillus subtilis LikeLiked Date: February 19, 2026 Less than 1 MinRead Views: 18 Journal of Agricultural and Food Chemistry DOI: 10.1021/acs.jafc.5c14547 Source: http://dx.doi.org/10.1021/acs.jafc.5c14547 Tags:Materials Industry FacebookTwitterLinkedinWhatsAppTelegramEmail ALT-Lab-Ad-1ALT-Lab-Ad-2ALT-Lab-Ad-3ALT-Lab-Ad-4ALT-Lab-Ad-5ALT-Lab-Ad-6ALT-Lab-Ad-7ALT-Lab-Ad-8ALT-Lab-Ad-9ALT-Lab-Ad-10ALT-Lab-Ad-11ALT-Lab-Ad-12ALT-Lab-Ad-13 Recent Articles Strengthening sustainability mindsets: Evidence from an analysis of the Human–Nature Connection and environmental behavior in Indonesia Research April 13, 2026 Tonya Haverkamp named 2026 Farm and Food Care Champion Food & Agriculture April 13, 2026 Packing media regulate nitric oxide removal performance by driving community assembly and biofilm evolution in biotrickling filters Research April 13, 2026 Precision Ag News 4/13 Food & Agriculture April 13, 2026 Microsoft Pauses Carbon Removal Purchases: Reports Environmental News April 13, 2026 The most polluting LNG project in the US is being built in Louisiana Energy April 13, 2026 Bioconversion of an untapped lignin monomer into a new pyridine-dicarboxylic acid building block Research April 13, 2026 Lithium leaching–induced activation of spent LFP composites for enhanced water oxidation with concurrent lithium recovery Research April 13, 2026 Elevated Infrastructure and Public Space: Reclaiming the Ground Below Built Environment April 13, 2026 Where Is The Circular Packaging Economy In 2026? Environmental News April 13, 2026 Load more
