Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
This research explores Microbiology Spectrum, contributing new insights to the field of Physics & Space Science.
This research explores Review the state-of-the-art technologies of semantic segment..., contributing new insights to the field of Artificial Intelligence.
The synthetic dyes used in the textile industry pollute a large amount of water. This review compares the most recent technologies which are commonly used to remove dye from textile wastewater, with a...
Highly accurate protein structure predictions by deep neural networks such as AlphaFold2 and RoseTTAFold have tremendous impact on structural biology and beyond. We explore what AlphaFold2 has memoriz...
Abstract Being successfully introduced into the market only 30 years ago, lithium‐ion batteries have become state‐of‐the‐art power sources for portable electronic devices and the most promising candid...
SUMMARY: Self-supervised deep language modeling has shown unprecedented success across natural language tasks, and has recently been repurposed to biological sequences. AVAILABILITY AND IMPLEMENTATION...
Abstract The SARS-CoV-2 epidemic in southern Africa has been characterized by three distinct waves. The Omicron variant is exceptional for carrying over 30 mutations in the spike glycoprotein, which a...
This research explores Harnessing cytokines and chemokines for cancer therapy, contributing new insights to the field of Medicine & Biology.
Abstract- Efficient modeling and simulation of photovoltaic (PV) systems has become more important due to the wide integration of solar energy in modern power systems. The proposed methodology found t...
Abstract The work mainly focused on a validation of the method for determining the content of salicylic acid and individual unknown impurities in new pharmaceutical product—tablets containing: 75, 100...
Classification systems differ vastly in terms of the nature and origin of their knowledge about image variations. Yuille, for example, represented eyes by a circle within an almond-shape and defined a...
Fibrosis affects millions of people with cardiac disease. Treatment with modified mRNA-targeted LNPs reduced fibrosis and restored cardiac function after injury.
In the coronavirus efficacy (COVE) phase 3 clinical trial, vaccine recipients were assessed for neutralizing and binding antibodies as correlates of risk for COVID-19 disease and as correlates of prot...
This research explores mRNA-based COVID-19 vaccine boosters induce neutralizing imm..., contributing new insights to the field of Medicine & Biology.
This research explores Surface-enhanced Raman spectroscopy, contributing new insights to the field of Physics & Space Science.
BACKGROUND: Lymphocyte-activation gene 3 (LAG-3) and programmed death 1 (PD-1) are distinct inhibitory immune checkpoints that contribute to T-cell exhaustion. Relatlimab and nivolumab in combination...
Signal peptides (SPs) are short amino acid sequences that control protein secretion and translocation in all living organisms. SPs can be predicted from sequence data, but existing algorithms are unab...
The Wnt/β-catenin pathway comprises a family of proteins that play critical roles in embryonic development and adult tissue homeostasis. In this article, we comprehensively review the Wnt/β-catenin pa...
November 2021, the sequence of a new SARS-CoV-2 viral isolate Omicron-B.1.1.529 was announced, containing far more mutations in Spike (S) than previously reported variants. Omicron S has structural ch...
Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes. I...