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: 35 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 DIY Review: Vintage Milk Can Side Table Makeover – Upcycled Charm with a Story Waste Management August 27, 2026 Eudaimonic and hedonic well-being orientations motivate ethical buying in Switzerland and Japan Research August 26, 2026 Innovative etching method for silicon: Higher precision through interlayer Materials & Chemicals August 26, 2026 Data-driven evaluation of supplementary cementitious materials for cement-based repair mortars: A statistical literature review Research August 26, 2026 Grounded Packaging | Resources Packaging August 26, 2026 Electric Vehicles August 26, 2026 Ozark Food Systems and Farm Bill Strategy: NSAC’s Summer Meeting Recap Food & Agriculture August 26, 2026 Electric Vehicles August 26, 2026 Electric Vehicles August 26, 2026 Waste Management August 26, 2026 Load more
