Articles with "using silico" as a keyword



Exploring Tenebrio molitor as a source of low‐molecular‐weight antimicrobial peptides using a n in silico approach: correlation of molecular features and molecular docking

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Published in 2024 at "Journal of the Science of Food and Agriculture"

DOI: 10.1002/jsfa.13949

Abstract: Abstract BACKGROUND Yellow mealworm (Tenebrio molitor) larvae are increasingly recognized as a potential source of bioactive peptides due to their high protein content. Antimicrobial peptides from sustainable sources are a research topic of interest. This… read more here.

Keywords: molecular docking; molitor; peptides using; tenebrio molitor ... See more keywords

Prediction and analysis of GH14 family β-amylases in oat seedling extract: Structure and function insights using in silico approaches.

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Published in 2019 at "International journal of biological macromolecules"

DOI: 10.1016/j.ijbiomac.2018.12.065

Abstract: Oat (Avena sativa L.) seedling extract exhibited a high degree of catalytic activities. Bioinformatics were used to identify β-amylases as abundant enzymes in the oat seedling extract. These identified oat enzymes are a member of… read more here.

Keywords: seedling extract; oat seedling; using silico; gh14 family ... See more keywords

Prediction of Plasma Concentrations Using In Silico Modelling and Simulation Approach: Case of Acebutolol.

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Published in 2021 at "Annales pharmaceutiques francaises"

DOI: 10.1016/j.pharma.2021.02.004

Abstract: PURPOSE The aim of this study was to predict the plasma concentrations of acebutolol tablets with different dissolution profiles using computer modelling and evaluating whether they are bioequivalent using simulated population studies. METHODS The dissolution… read more here.

Keywords: plasma concentrations; prediction plasma; using silico; concentrations using ... See more keywords

PO-510 Investigation of potential therapeutic targets by using in silico methods in glioblastoma

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Published in 2018 at "ESMO Open"

DOI: 10.1136/esmoopen-2018-eacr25.525

Abstract: Introduction Glioblastoma is the one of the most common primary malignant tumour of brain. Due to anatomical and physiological characteristics of brain, drug delivery to the tumour site is hampered. In glioblastoma, survival time is… read more here.

Keywords: targets using; glioblastoma; therapeutic targets; using silico ... See more keywords

Targeting a transcription factor NF-κB by green tea catechins using in silico and in vitro studies in pancreatic cancer

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Published in 2023 at "Frontiers in Nutrition"

DOI: 10.3389/fnut.2022.1078642

Abstract: Pancreatic cancer remains a lethal disease and a major public health problem globally. Nuclear factor-kappa B (NF-κB) has been identified as a therapeutic target in several cancers and plays an important role in inflammatory responses.… read more here.

Keywords: using silico; vitro studies; pancreatic cancer; factor ... See more keywords
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Antiatherogenic Effects of Quercetin in the THP-1 Macrophage Model In Vitro, With Insights Into Its Signaling Mechanisms Using In Silico Analysis

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Published in 2021 at "Frontiers in Pharmacology"

DOI: 10.3389/fphar.2021.698138

Abstract: Background: Atherosclerosis (AS), a major risk factor for stroke and brain tissue destruction, is an inflammatory disease of the blood vessels, and the underlying pathology is inflammation mediated by various chemokines and cytokines. Quercetin, a… read more here.

Keywords: mechanisms using; antiatherogenic effects; analysis; effects quercetin ... See more keywords

Unique Biological Characteristics of Patients with High Gleason Score and Localized/Locally Advanced Prostate Cancer Using an In Silico Translational Approach

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Published in 2025 at "Current Oncology"

DOI: 10.3390/curroncol32070409

Abstract: Simple Summary Gleason score (GS) is one of the best predictors of prostate cancer aggressiveness. GS classifies cancer cells based on the histological patterns of prostate tissue sections and does not evaluate the nuclear grade… read more here.

Keywords: cancer; prostate cancer; using silico; translational approach ... See more keywords

Structural and functional characterization of SARS-CoV-2 nucleocapsid protein mutations identified in Turkey by using in silico approaches.

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Published in 2023 at "Acta virologica"

DOI: 10.4149/av_2023_106

Abstract: Missense mutations in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus may cause changes in the structure of proteins. The nucleocapsid (N) protein is an important target for drugs and vaccines. The main purpose… read more here.

Keywords: nucleocapsid protein; using silico; silico approaches; missense mutations ... See more keywords