Search results for "Algorithms"
showing 10 items of 1716 documents
Conf-VLKA: A structure-based revisitation of the Virtual Lock-and-key Approach
2016
In a previous work, we developed the in house Virtual Lock-and-Key Approach (VLKA) in order to evaluate target assignment starting from molecular descriptors calculated on known inhibitors used as an information source. This protocol was able to predict the correct biological target for the whole dataset with a good degree of reliability (80%), and proved experimentally, which was useful for the target fishing of unknown compounds. In this paper, we tried to remodel the previous in house developed VLKA in a more sophisticated one in order to evaluate the influence of 3D conformation of ligands on the accuracy of the prediction. We applied the same previous algorithm of scoring and ranking b…
MEDical wards Invasive Candidiasis ALgorithms (MEDICAL):Consensus proposal for management
2016
Abstract Introduction A majority of invasive Candida infections occur in medical wards; however, evidence for management in this setting is scarce and based primarily on the intensive care or surgical setting. On behalf of the Italian Society for Anti-Infective Therapy (SITA) and the Italian Federation of Associations of Hospital Doctors on Internal Medicine (FADOI), the MEDICAL group produced practical management algorithms for patients in internal medicine wards. Methods The MEDICAL group panel, composed of 30 members from internal medicine, infectious disease, clinical pharmacology, clinical microbiology and clinical epidemiology, provided expert opinion through the RAND/UCLA method. Res…
ASO Author Reflections: How Long will We Perform Lymphadenectomy in Endometrial Cancer Patients?
2022
Abstract Objectives To compare survival and progression outcomes between 2 nodal assessment approaches in patients with nonbulky stage IIIC endometrial cancer (EC). Methods Patients with stage IIIC EC treated at 2 institutions were retrospectively identified. At 1 institution, a historical series (2004–2008) was treated with systematic pelvic and para-aortic lymphadenectomy (LND cohort). At the other institution, more contemporary patients (2006–2013) were treated using a sentinel lymph node algorithm (SLN cohort). Outcomes (hazard ratios [HRs]) within the first 5 years after surgery were compared between cohorts using Cox models adjusted for type of adjuvant therapy. Results The study incl…
Evaluation of tumor immune contexture among intrinsic molecular subtypes helps to predict outcome in early breast cancer
2021
BackgroundThe prognosis of early breast cancer is linked to clinic-pathological stage and the molecular characteristics of intrinsic tumor cells. In some patients, the amount and quality of tumor-infiltrating immune cells appear to affect long term outcome. We aimed to propose a new tool to estimate immune infiltrate, and link these factors to patient prognosis according to breast cancer molecular subtypes.MethodsWe performed in silico analyses in more than 2800 early breast cancer transcriptomes with corresponding clinical annotations. We first developed a new gene expression deconvolution algorithm that accurately estimates the quantity of immune cell populations (tumor immune contexture,…
Dissection of DLBCL microenvironment provides a gene expression-based predictor of survival applicable to formalin-fixed paraffin-embedded tissue
2018
Abstract Background Gene expression profiling (GEP) studies recognized a prognostic role for tumor microenvironment (TME) in diffuse large B-cell lymphoma (DLBCL), but the routinely adoption of prognostic stromal signatures remains limited. Patients and methods Here, we applied the computational method CIBERSORT to generate a 1028-gene matrix incorporating signatures of 17 immune and stromal cytotypes. Then, we carried out a deconvolution on publicly available GEP data of 482 untreated DLBCLs to reveal associations between clinical outcomes and proportions of putative tumor-infiltrating cell types. Forty-five genes related to peculiar prognostic cytotypes were selected and their expression …
PML risk stratification using anti-JCV antibody index and L-selectin
2015
Background: Natalizumab treatment is associated with progressive multifocal leukoencephalopathy (PML) development. Treatment duration, prior immunosuppressant use, and JCV serostatus are currently used for risk stratification, but PML incidence stays high. Anti-JCV antibody index and L-selectin (CD62L) have been proposed as additional risk stratification parameters. Objective: This study aimed at verifying and integrating both parameters into one algorithm for risk stratification. Methods: Multicentric, international cohorts of natalizumab-treated MS patients were assessed for JCV index (1921 control patients and nine pre-PML patients) and CD62L (1410 control patients and 17 pre-PML patient…
A practical method for barcoding and size-trimming PCR templates for amplicon sequencing
2016
Sample barcoding facilitates the analysis of tens or even hundreds of samples in a single next-generation sequencing (NGS) run, but more efficient methods are needed for high-throughput barcoding and size-trimming of long PCR products. Here we present a two-step PCR approach for barcoding followed by pool shearing, adapter ligation, and 5′ end selection for trimming sets of DNA templates of any size. Our new trimming method offers clear benefits for phylogenetic studies, since targeting exactly the same region maximizes the alignment and enables the use of operational taxonomic unit (OTU)-based algorithms.
Generalized Molecular Descriptors Derived From Event-Based Discrete Derivative.
2016
In the present study, a generalized approach for molecular structure characterization is introduced, based on the relation frequency matrix (F) representation of the molecular graph and the subsequent calculation of the corresponding discrete derivative (finite difference) over a pair of elements (atoms). In earlier publications (22- 24), an unique event, named connected subgraphs, (based on the Kier-Hall's subgraphs) was systematically employed for the computation of the matrix F. The present report is a generalization of this notion, in which eleven additional events are introduced, classified in three categories, namely, topological (terminal paths, vertex path incidence, quantum subgrap…
Stochastic sampling effects favor manual over digital contact tracing.
2020
Isolation of symptomatic individuals, tracing and testing of their nonsymptomatic contacts are fundamental strategies for mitigating the current COVID-19 pandemic. The breaking of contagion chains relies on two complementary strategies: manual reconstruction of contacts based on interviews and a digital (app-based) privacy-preserving contact tracing. We compare their effectiveness using model parameters tailored to describe SARS-CoV-2 diffusion within the activity-driven model, a general empirically validated framework for network dynamics. We show that, even for equal probability of tracing a contact, manual tracing robustly performs better than the digital protocol, also taking into accou…
A New Experiment for the Measurement of the g-Factors of 3He+ and 3He2+.
2018
We describe a new experiment that aims at a parts per billion measurement of the nuclear magnetic moment of 3He2+ and a 100 parts per trillion measurement of the Zeeman effect of the ground-state hyperfine splitting of 3He+. To enable ultrafast and efficient experiment cycles the experiment relies on new technologies such as sympathetic laser cooling of single 3He-ions coupled to a cloud of Doppler-cooled 9Be-ions in a Penning trap or a novel spin-state detection scheme.