An improved and expedient technique for the synthesis of peptidyl-fluoromethyl ketones is described. The methodology is based on prior coupling of an aspartate fluoromethyl ketone to a linker and mounting it onto resin-bound methylbenzhydrylamine hydrochloride. Subsequently, by utilising standard Fmoc peptide procedures, a number of short Z-protected peptides were synthesised and assessed as possible inhibitors of the main protease from SARS-CoV-2 (3CL).
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185805 | PMC |
| http://dx.doi.org/10.1039/d1ra03046a | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning.
Comput Biol Med
January 2025
Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
View Article and Find Full Text PDFEnhancing Activation Energy Predictions under Data Constraints Using Graph Neural Networks.
J Chem Inf Model
January 2025
Department of Chemical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan.
Accurately predicting activation energies is crucial for understanding chemical reactions and modeling complex reaction systems. However, the high computational cost of quantum chemistry methods often limits the feasibility of large-scale studies, leading to a scarcity of high-quality activation energy data. In this work, we explore and compare three innovative approaches (transfer learning, delta learning, and feature engineering) to enhance the accuracy of activation energy predictions using graph neural networks, specifically focusing on methods that incorporate low-cost, low-level computational data.
View Article and Find Full Text PDF2024 White Paper on Recent Issues in Bioanalysis: Three Way-Cross Validation; Urine Clinical Analysis; Automated Methods; Regulatory Queries on Plasma Protein Binding; Automated Biospecimen Management; ELN Migration; Ultra-Sensitivity Mass Spectrometry ( - Recommendations on Advanced Strategies for Mass Spectrometry Assays, Chromatography, Sample Preparation and BMV/Regulated Bioanalysis - Regulatory Agencies' Inputs on Regulated Bioanalysis/BMV).
Bioanalysis
January 2025
US FDA, Silver Spring, MD, USA.
The 18 Workshop on Recent Issues in Bioanalysis (18 WRIB) took place in San Antonio, TX, USA on May 6-10, 2024. Over 1100 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 18 WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.
View Article and Find Full Text PDFDetecting noncredible symptomology in ADHD evaluations using machine learning.
J Clin Exp Neuropsychol
January 2025
Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Introduction: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process required to detect these noncredible symptoms. The present study investigated whether unsupervised machine learning (ML) could serve as one such method, and detect noncredible symptom reporting in adults undergoing ADHD evaluations.
View Article and Find Full Text PDFEvaluation of the evidence-based practices for the management of PCOS in the Latin America context: the consensus of the Latin American Association of Gynecological Endocrinology (ALEG).
Gynecol Endocrinol
December 2025
Universidad Finis Terrae, Unidad de Medicina Reprodutiva de Clínicas MEDS y Asociación Latinoamericana de Endocrinología Ginecológica (ALEG), Santiago de Chile, Chile.
Objectives: Polycystic Ovary Syndrome (PCOS) is a complex condition affecting approximately 1 in 10 women of reproductive age. However, limited data are available regarding the specific characteristics and needs of women with PCOS in Latin America. This consensus sought to evaluate the evidence-based practices for the management of PCOS for Latin American populations, consolidate regional insights, identify eventual gaps in implementation and identify key research opportunities.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!