Cargando…

In silico ranking of phenolics for therapeutic effectiveness on cancer stem cells

BACKGROUND: Cancer stem cells (CSCs) have features such as the ability to self-renew, differentiate into defined progenies and initiate the tumor growth. Treatments of cancer include drugs, chemotherapy and radiotherapy or a combination. However, treatment of cancer by various therapeutic strategies...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mandal, Monalisa, Sahoo, Sanjeeb Kumar, Patra, Priyadarsan, Mallik, Saurav, Zhao, Zhongming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768647/ https://www.ncbi.nlm.nih.gov/pubmed/33371879 http://dx.doi.org/10.1186/s12859-020-03849-z

Ejemplares similares

Comparative performance analysis of binary variants of FOX optimization algorithm with half-quadratic ensemble ranking method for thyroid cancer detection
por: Sharma, Rohit, et al.
Publicado: (2023)

Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data
por: Mallik, Saurav, et al.
Publicado: (2023)

Wrapper-based deep feature optimization for activity recognition in the wearable sensor networks of healthcare systems
por: Sahoo, Karam Kumar, et al.
Publicado: (2023)

ConGEMs: Condensed Gene Co-Expression Module Discovery Through Rule-Based Clustering and Its Application to Carcinogenesis
por: Mallik, Saurav, et al.
Publicado: (2017)

Identification of gene signatures from RNA-seq data using Pareto-optimal cluster algorithm
por: Mallik, Saurav, et al.
Publicado: (2018)

Multi-Objective Optimized Fuzzy Clustering for Detecting Cell Clusters from Single-Cell Expression Profiles
por: Mallik, Saurav, et al.
Publicado: (2019)

Detecting methylation signatures in neurodegenerative disease by density-based clustering of applications with reducing noise
por: Mallik, Saurav, et al.
Publicado: (2020)

Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer
por: Bhadra, Tapas, et al.
Publicado: (2022)

A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data
por: Mallik, Saurav, et al.
Publicado: (2020)

Reliable In Silico Ranking of Engineered Therapeutic TCR Binding Affinities with MMPB/GBSA
por: Crean, Rory M., et al.
Publicado: (2022)

Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data
por: Seth , Soumita, et al.
Publicado: (2022)

PPIGCF: A Protein–Protein Interaction-Based Gene Correlation Filter for Optimal Gene Selection
por: Pati, Soumen Kumar, et al.
Publicado: (2023)

Quantum key distribution over FSO channel using error reconciliation protocol
por: Mallick, Bandana, et al.
Publicado: (2023)

Designing optimal convolutional neural network architecture using differential evolution algorithm
por: Ghosh, Arjun, et al.
Publicado: (2022)

An Ensemble-Based Deep Convolutional Neural Network for Computer-Aided Polyps Identification From Colonoscopy
por: Sharma, Pallabi, et al.
Publicado: (2022)

Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data
por: Gaur, Loveleen, et al.
Publicado: (2022)

Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
por: Das, Himanish Shekhar, et al.
Publicado: (2023)

H19, a Long Non-coding RNA, Mediates Transcription Factors and Target Genes through Interference of MicroRNAs in Pan-Cancer
por: Li, Aimin, et al.
Publicado: (2020)

Folate Decorated Dual Drug Loaded Nanoparticle: Role of Curcumin in Enhancing Therapeutic Potential of Nutlin-3a by Reversing Multidrug Resistance
por: Das, Manasi, et al.
Publicado: (2012)

Computational learning of features for automated colonic polyp classification
por: Bora, Kangkana, et al.
Publicado: (2021)

A Deep Learning–Based Framework for Supporting Clinical Diagnosis of Glioblastoma Subtypes
por: Munquad, Sana, et al.
Publicado: (2022)

Chronic kidney disease prediction using boosting techniques based on clinical parameters
por: Ganie, Shahid Mohammad, et al.
Publicado: (2023)

ANN-Based Integrated Risk Ranking Approach: A Case Study of Contaminants of Emerging Concern of Fish and Seafood in Europe
por: Kumar, Vikas, et al.
Publicado: (2021)

3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection
por: Mallik, Saurav, et al.
Publicado: (2023)

Identification of breast lesion through integrated study of gorilla troops optimization and rotation-based learning from MRI images
por: Si, Tapas, et al.
Publicado: (2023)

An Improved Method for Diagnosis of Parkinson’s Disease using Deep Learning Models Enhanced with Metaheuristic Algorithm
por: Mallik, Saurav, et al.
Publicado: (2023)

In-silico prediction of blood-secretory human proteins using a ranking algorithm
por: Liu, Qi, et al.
Publicado: (2010)

Signaling pathway cloud regulation for in silico screening and ranking of the potential geroprotective drugs
por: Zhavoronkov, Alex, et al.
Publicado: (2014)

Federated learning based futuristic biomedical big-data analysis and standardization
por: Fathima, Afifa Salsabil, et al.
Publicado: (2023)

Nimbolide-based nanomedicine inhibits breast cancer stem-like cells by epigenetic reprogramming of DNMTs-SFRP1-Wnt/β-catenin signaling axis
por: Mohapatra, Priyanka, et al.
Publicado: (2023)

MicroRNA and transcription factor co-regulatory networks and subtype classification of seminoma and non-seminoma in testicular germ cell tumors
por: Qin, Guimin, et al.
Publicado: (2020)

RankProt: A multi criteria-ranking platform to attain protein thermostabilizing mutations and its in vitro applications - Attribute based prediction method on the principles of Analytical Hierarchical Process
por: Chakravorty, Debamitra, et al.
Publicado: (2018)

In Silico Interaction of the Active Compounds of Scurrula Atropurpurea with the RANK/RANKL/OPG System in Diabetoporosis
por: Akbar, Izaak Zoelkarnain, et al.
Publicado: (2019)

Chemometric QSAR Modeling and In Silico Design of Antioxidant NO Donor Phenols
por: Mitra, Indrani, et al.
Publicado: (2011)

Long Circulating Lectin Conjugated Paclitaxel Loaded Magnetic Nanoparticles: A New Theranostic Avenue for Leukemia Therapy
por: Singh, Abhalaxmi, et al.
Publicado: (2011)

Enhanced anti-metastatic and anti-tumorigenic efficacy of Berbamine loaded lipid nanoparticles in vivo
por: Parhi, Priyambada, et al.
Publicado: (2017)

Mechanism of the Dehydrogenative Phenothiazination of Phenols
por: Goswami, Monalisa, et al.
Publicado: (2018)

In Silico Modeling and Structural Analysis of Soluble Epoxide Hydrolase Inhibitors for Enhanced Therapeutic Design
por: Sar, Shuvam, et al.
Publicado: (2023)

Antihyperlipidemic studies of newly synthesized phenolic derivatives: in silico and in vivo approaches
por: Aqeel, Muhammad Tahir, et al.
Publicado: (2018)

Curcumin Encapsulated into Biocompatible Co-Polymer PLGA Nanoparticle Enhanced Anti-Gastric Cancer and Anti-Helicobacter Pylori Effect
por: Alam, Jawed, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_nhqlsvpovtt7nhaa3utvcsk3f6