We have developed an ab initio algorithm for determining a protein backbone structure using global orientational restraints on internuclear vectors derived from residual dipolar couplings (RDCs) measured in one or two different aligning media by solution nuclear magnetic resonance (NMR) spectroscopy [14, 15]. Specifically, the conformation and global orientations of individual secondary structure elements are computed, independently, by an exact solution, systematic search-based minimization algorithm using only 2 RDCs per residue. The systematic search is built upon a quartic equation for computing, exactly and in constant time, the directions of an internuclear vector from RDCs, and linear or quadratic equations for computing the sines and cosines of backbone dihedral (phi, psi) angles from two vectors in consecutive peptide planes. In contrast to heuristic search such as simulated annealing (SA) or Monte-Carlo (MC) used by other NMR structure determination algorithms, our minimization algorithm can be analyzed rigorously in terms of expected algorithmic complexity and the coordinate precision of the protein structure as a function of error in the input data. The algorithm has been successfully applied to compute the backbone structures of three proteins using real NMR data.
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http://dx.doi.org/10.1109/csb.2004.1332445 | DOI Listing |
Introduction: Nurse researchers often lack awareness of how to start a clinical academic research career and often lack clear entry routes. This scoping review aims to identify the range and nature of clinical academic opportunities available for nurses. This will also identify the knowledge gaps and provide the basis for future research.
View Article and Find Full Text PDFMol Inform
December 2024
Departamento de Produtos Farmacêuticos, Faculdade de Farmácia, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, 31270-901, Brazil.
Virtual screening (VS) in drug design employs computational methodologies to systematically rank molecules from a virtual compound library based on predicted features related to their biological activities or chemical properties. The recent expansion in commercially accessible compound libraries and the advancements in artificial intelligence (AI) and computational power - including enhanced central processing units (CPUs), graphics processing units (GPUs), high-performance computing (HPC), and cloud computing - have significantly expanded our capacity to screen libraries containing over 10 molecules. Herein, we review the concept of ultra-large virtual screening (ULVS), focusing on the various algorithms and methodologies employed for virtual screening at this scale.
View Article and Find Full Text PDFBone
November 2024
Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China; Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China. Electronic address:
Background: Type 2 diabetes mellitus (T2DM) is associated with an increased risk of osteoporosis (OP) and fractures.
Purpose: The aim of this study was to analyze the available evidence on the effect of GLP-1 RAs on fracture risk in patients with type 2 diabetes.
Methods: A systematic search based on PubMed, Embase and Web of Science databases was performed to collect relevant literature published until May 2024 on the application of GLP-1 RAs in T2DM patients.
Shoulder Elbow
May 2024
Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Background: The purpose of this study was to systematically review the rate and time frame to return to sports in collision athletes following arthroscopic Bankart repair.
Methods: A systematic literature search based on Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines, utilizing the EMBASE, MEDLINE, and The Cochrane Library Databases was performed. Manuscripts were included if they studied collision or contact athletes, reported on return to play rates or percentages, underwent arthroscopic Bankart repair, published in a peer-reviewed journal, and published in English.
Autoimmun Rev
December 2024
Clinical Department 5, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania; Departments of Internal Medicine and Rheumatology, Colentina Clinical Hospital, Bucharest, Romania.
Background: Messenger RNA (mRNA) -based compounds have been lately developed as one of the most promising treatment alternatives in a wide range of pathologies, especially cancers and infectious diseases.
Aim: To review the current research landscape on mRNA-based compounds, with a focus on the inclusion criteria used for participants with autoimmune diseases and/or under immunosuppressive treatments.
Methods: We conducted a comprehensive search based on PICO framework specifically formulated, throughout the most important clinical trial registries: WHO International Clinical Trials Registry Platform (ICTRP) portal, ClinicalTrials.
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