Results 121 to 130 of about 20,375,797 (310)

Direct conversion of peptides into diverse peptidomimetics using a transformer-based chemical language model

European Journal of Medicinal Chemistry Reports
The design of pharmaceutically relevant compounds that mimic bioactive peptides or secondary structure elements in proteins is an important task in medicinal chemistry. Over time, various chemical strategies have been developed to convert natural peptide
Atsushi Yoshimori, Jürgen Bajorath
doaj   +1 more source

Situated Poetry Learning Using Multimedia Resource Sharing Approach

, 2013
[[abstract]]Educators have emphasized the importance of situating students in an authentic learning environment. By using such approach, teachers can encourage students to learn Chinese poems by browsing content resources and relevant online multimedia ...

core  

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Does the purchase intention of green consumers align with their zero-waste buying behaviour? An empirical study on a proactive approach towards embracing waste-free consumption

Heliyon
In recent years, emerging retail markets in cosmetics have transformed into green markets, as consumers demand more eco-friendly products. However, in scholarly literature, limited studies are available where researchers discuss green consumers' purchase
Gyan Prakash, Sahiba Sharma, Anil Kumar, Sunil Luthra   +3 more
doaj   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

Data and code availability requirements in open science and consequences for different research environments

Artificial Intelligence in the Life Sciences, 2023
Jürgen Bajorath
doaj   +1 more source

Atomic orbits in molecules and materials for improving machine learning force fields

Machine Learning: Science and Technology
The accurate representation of atoms within their environment forms the backbone of any reliable machine learning force field (MLFF). While modern MLFFs treat atoms of the same type as indistinguishable, their identities can be further resolved by ...
Anton Charkin-Gorbulin, Artem Kokorin, Huziel E Sauceda, Stefan Chmiela, Claudio Quarti, David Beljonne, Alexandre Tkatchenko, Igor Poltavsky   +7 more
doaj   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

A client-enhanced language model for interactive compound optimization guided by explainable artificial intelligence

Artificial Intelligence in the Life Sciences
Compound optimization is of central relevance in medicinal chemistry. We introduce a new machine learning framework for iterative chemical optimization that integrates compound potency predictions, the explanation of predictions, and generative modeling ...
Atsushi Yoshimori, Jürgen Bajorath
doaj   +1 more source

An Integrated E-learning Enhancement Framework (IELEF) for Enhancing the E-learning Environment in Higher Education.

This item outlines a design to critically investigate and advance the role of internet technologies, advanced web applications, and scalable cloud computing in fundamentally enhancing the e-learning environments within the context of higher education.
openaire   +1 more source