Results 161 to 170 of about 24,360 (290)

Glycoalkaloid‐Free Starch Potatoes Generated by CRISPR/Cas9‐Mediated Mutations of Genes in the Glycoalkaloid Biosynthesis Pathway Enable More Sustainable Uses of By‐Products From Starch Production

Plant Biotechnology Journal, EarlyView.
ABSTRACT Steroidal glycoalkaloids (SGAs) are toxic cholesterol‐derived secondary metabolites present in several Solanaceae species. In potato, tuber SGA levels are for reasons of toxicity of concern in both table and starch cultivars. In the latter, SGAs bind to proteins and fibres in starch production side‐streams and prevent their further uses as ...
Ying Liu, Irene Merino, Mareike Gutensohn, Annika I. Johansson, Kalle Johansson, Mariette Andersson, Per Hofvander, Folke Sitbon   +7 more
wiley   +1 more source

Reverse vaccinology-based identification of immunogenic membrane proteins from zoonotic multidrug-resistant Proteus vulgaris: a one health approach to cross-species vaccine development. [PDF]

BMC Vet Res
Asghar F, Hussain Z, Habiba TU, Nawaz W.
europepmc   +1 more source

Expression of Escherichia coli Heat-labile Enterotoxin B Subunit (LTB) in Saccharomyces cerevisiae [PDF]

Heat-labile enterotoxin B subunit (LTB) of enterotoxigenic Escherichia coli (ETEC) is both a strong mucosal adjuvant and immunogen. It is a subunit vaccine candidate to be used against ETEC-induced diarrhea.
آهنگرزاده رضایی, محمد, ارزنلو, محسن, توچیکوبو, کونیو, رضایی, عباس, موذنی, سید محمد, نجار پیرایه, شهین, هاتف سلمانیان, علی, یاسودا, یوکو   +7 more
core  

Ideal soft tissue graft in periodontal and peri‐implant applications: A scoping review

Periodontology 2000, EarlyView.
Abstract Soft tissue grafts (STG) are used in a wide range of clinical situations including volume augmentation, keratinized tissue increase, and recession coverage around teeth and implants. Each STG, produced from different sources and processed with various techniques, possesses unique material properties and interaction with the host tissues, which
Madeline Yon, Elena Calciolari, Nikos Mardas, Anton Sculean, Nikolaos Donos   +4 more
wiley   +1 more source

Immunoinformatics-based design and evaluation of a multi-epitope vaccine against Vibrio fluvialis. [PDF]

Sci Rep
Naveed M, Husnain M, Aziz T, Qadir P, Asim M, Majeed MN, Aloufi AS, Shami A, Alwethynani MS, Tombozara N.   +9 more
europepmc   +1 more source

Randomised, Double‐Blinded, Placebo‐Controlled Challenge Test With Single Food Items in Dogs With Atopic Dermatitis and Adverse Food Reactions

Veterinary Dermatology, EarlyView.
ABSTRACT Background Identification of offending foods in dogs with adverse food reactions is usually based on “deterioration” during open food challenges. Objectives To examine the placebo effect during double‐blinded, placebo‐controlled food challenges using a predefined set of criteria for relapse.
Evi I. Sofou, Elisa Samuel, Svetlina Aleksandrova, Manolis Chatzis, Manolis N. Saridomichelakis   +4 more
wiley   +1 more source

Safety evaluation of the food enzyme α-amylase from the non-genetically modified <i>Aspergillus</i> sp. strain AR-SHFA-109. [PDF]

EFSA J
EFSA Panel on Food Enzymes (FEZ), Zorn H, Barat Baviera JM, Bolognesi C, Catania F, Gadermaier G, Greiner R, Mayo B, Mortensen A, Roos YH, Solano MLM, Van Loveren H, Vernis L, Andryszkiewicz M, Cavanna D, Liu Y.   +15 more
europepmc   +1 more source

Mite allergens [PDF]

Expert Review of Clinical Immunology, 2017
openaire   +2 more sources

Selenium biofortification: integrating one health and sustainability

Journal of the Science of Food and Agriculture, Volume 106, Issue 4, Page 1955-1967, 15 March 2026.
Abstract Selenium (Se) biofortification in crops has emerged as a promising strategy to address global Se deficiencies and enhance both agricultural productivity and human health. Increasing the Se content of crops through biofortification improves their resilience to abiotic and biotic stresses and boosts their nutritional value.
Silvia Estarriaga‐Navarro, Nieves Goicoechea, Daniel Plano, Carmen Sanmartín   +3 more
wiley   +1 more source

AllergenAI: a deep learning model predicting allergenicity based on protein sequence. [PDF]

BMC Bioinformatics
Liu J, Negi SS, Yang C, Zhou X, Schein CH, Braun W, Kim P.   +6 more
europepmc   +1 more source