Results 61 to 70 of about 27,052,763 (294)

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

FEBS Letters, EarlyView.
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi, João C. Encarnação, Valeria Napolitano, Grzegorz Dubin, Grzegorz Popowicz, Karl Andersson, U. Helena Danielson   +6 more
wiley   +1 more source

Systematic Literature Review on Recommender System: Approach, Problem, Evaluation Techniques, Datasets

IEEE Access
Recommender systems become essential with the presence of the internet and social media. The perceived benefits of the recommender system can make it easier for users to find suitable products and recommend other products, specifically with lots of ...
Ilham Saifudin, Triyanna Widiyaningtyas
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

An improved switching hybrid recommender system using naive Bayes classifier and collaborative filtering

, 2010
Recommender Systems apply machine learning and data mining techniques for filtering unseen information and can predict whether a user would like a given resource.
Prugel-Bennett, Adam, Ghazanfar, Mustansar   +1 more
core   +1 more source

A Hybrid Content-Based and Collaborative Filtering Approach for Recommending Optimal Movie Release Months

Journal of Applied Informatics and Computing
The film industry faces increasingly intense competition, making release timing a critical factor in maximizing box-office performance. However, decisions regarding release months are often driven by producers’ intuition rather than systematic data ...
Ukasyah Muntaha, Johannes Krisjon Silitonga, Elisabeth Claudia Simanjuntak, M. Syamsuddin Wisnubroto, Fajri Farid, Meida Cahyo Untoro   +5 more
doaj   +1 more source

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

FEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg, Martine Hjeltnes, Josephine Krieger, Joshua E. Elias, Maria Stensland, Kristian Holm, Xiaojun Jiang, Chuki Khangsar, Tuula A. Nyman, Arthur Kaser, Johannes R. Hov, Tom H. Karlsen, Nicole C. Kaneider, Frode L. Jahnsen, Georg Schneditz   +14 more
wiley   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

A Recommendation System Based on Fuzzy Signature

IEEE Access
In recent years, recommendation systems have become essential tools for managing the overwhelming volume of information users face daily. In the context of Technology Enhanced Learning (TEL), for instance, where learners can be faced with a large variety
Giuseppe D'Aniello, Mario Della Corte, Matteo Gaeta   +2 more
doaj   +1 more source

Forward a hybrid AI fashion recommender system blending trends and personal style based on fuzzy systems [PDF]

PeerJ Computer Science
During recent years, the accelerated evolution of online fashion trends and seasonal dynamics has increased the demand for intelligent recommendation systems capable of balancing personalization and novelty.
Aladdin Masri, Muhannad Al-Jabi
doaj   +2 more sources

Hybrid Collaborative Filtering and Content-Based Filtering for Improved Recommender System [PDF]

, 2004
The growth of the Internet has resulted in an increasing need for personalized information systems. The paper describes an autonomous agent, WebBot: Web Robot Agent, which integrates with the web and acts as a personal recommender system that cooperates with the user on identifying interesting pages.
Kyung-Yong Jung, Dong-Hyun Park, Jung-Hyun Lee   +2 more
openaire   +1 more source