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: 2 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 NASA Releases Report on Starliner Crewed Flight Test Investigation Research February 19, 2026 Middle East Sustainable Bonds Set to Hit $25B in 2026 as Sukuk Surge Climate & Resource February 19, 2026 U.S. Beef Export Picture Changing Food & Agriculture February 19, 2026 NASA to Provide Starliner Crew Flight Test Review Findings Today Research February 19, 2026 Amazon Expands Its Carbon Credit Strategy with Lower-Carbon Fuel and Superpollutant Solutions Carbon Markets February 19, 2026 Economic and environmental prospects of implementation of waste management systems in higher educational institutions (HEIs): A study on IIT Indore campus Research February 19, 2026 Ontario Teachers’ Pension Plan Replaces Portfolio Emissions Reduction Goal with New Climate Investment Target Environmental News February 19, 2026 Decarbonizing fossil-to-chemicals conversion: reliable real-time optimization under coupled chemical and carbon capture dynamics Research February 19, 2026 EY Launches Framework to Help Companies Embed Sustainability Across the Enterprise Environmental News February 19, 2026 The Sustainable Consumer’s Guide to Amazon Shopping Environmental News February 19, 2026 Load more
