ORFeus is a fully automated, sensitive protein sequence similarity search server available to the academic community via the Structure Prediction Meta Server (http://BioInfo.PL/Meta/). The goal of the development of ORFeus was to increase the sensitivity of the detection of distantly related protein families. Predicted secondary structure information was added to the information about sequence conservation and variability, a technique known from hybrid threading approaches. The accuracy of the meta profiles created this way is compared with profiles containing only sequence information and with the standard approach of aligning a single sequence with a profile. Additionally, the alignment of meta profiles is more sensitive in detecting remote homology between protein families than if aligning two sequence-only profiles or if aligning a profile with a sequence. The specificity of the alignment score is improved in the lower specificity range compared with the robust sequence-only profiles.
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http://dx.doi.org/10.1093/nar/gkg504 | DOI Listing |
Background: The armamentarium of medical therapies to treat inflammatory bowel disease (IBD) continues to grow, which has expanded treatment options, particularly after first biologic failure. Currently, there are limited studies investigating the predictive value of first biologic primary non-response (PNR) on subsequent biologic success. Our objective was to determine if PNR to the first biologic for IBD is predictive of response to subsequent biologic therapy.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Division of Orthopaedic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada.
Background: To summarize the statistical performance of machine learning in predicting revision, secondary knee injury, or reoperations following anterior cruciate ligament reconstruction (ACLR), and to provide a general overview of the statistical performance of these models.
Methods: Three online databases (PubMed, MEDLINE, EMBASE) were searched from database inception to February 6, 2024, to identify literature on the use of machine learning to predict revision, secondary knee injury (e.g.
J Immunother Cancer
January 2025
Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Background: Immune checkpoint inhibitors (ICIs) in combination with antiangiogenic drugs have shown promising outcomes in the third-line and subsequent treatments of patients with microsatellite stable metastatic colorectal cancer (MSS-mCRC). Radiotherapy (RT) may enhance the antitumor effect of immunotherapy. However, the effect of RT exposure on patients receiving ICIs and targeted therapy remains unclear.
View Article and Find Full Text PDFCardiovasc Revasc Med
December 2024
Division of Cardiology, Department of Medicine, Warren Alpert Medical School of Brown University and Lifespan Cardiovascular Institute, Providence, RI, USA.
Background: There is uncertainty about the use of the CHA2DS2-VASc score to predict clinical events in patients with Takotsubo syndrome (TTS). This study aimed to assess the short-term prognostic role of CHA2DS2-VASc score in this population.
Methods: All admissions with a primary diagnosis of TTS were included using data from the National Inpatient Sample database during 2016-2019.
Cytokine
January 2025
Department of Neurosurgery, Guangyuan Central Hospital, Guangyuan 628000, Sichuan Province, China.
Objective: To investigate the interaction of inflammatory factors related to pulmonary infection and the TLR4/NF-κB signaling pathway in patients with spontaneous intracerebral hemorrhage (ICH).
Methods: A total of 325 critically ill ICH patients treated in our hospital from May 2021 to February 2024 were selected for this study. Based on whether the patient developed a pulmonary infection during treatment, they were divided into the infection group (n = 86) and the non-infection group (n = 239).
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