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The remarkable therapeutic potential of luteolin against cervical cancer can be ascribed to its profound influence on amino acid and nucleotide metabolism, substantiated by the seamless integration of metabolomics, bioinformatics, and molecular docking techniques in this comprehensive investigation.
These results were confirmed by molecular modeling and bioinformatics tools. In the anticancer test, the compound showed strong anticancer activity in pancreatic cancer with apoptotic signaling pathways.
Our data imply that a precise selection of bioinformatics tools can facilitate the identification of miRNAs that impact mRNA translation at different stages of the cell cycle. The ability of these six miRNAs to impact the cell cycle in colorectal cancer may be concluded.
“Sam has an exceptional talent in software engineering, and his contributions reflect a deep understanding of both the technical and biological aspects required for bioinformatics tool development,” says Laura Luebbert, now a postdoctoral fellow in the Sabeti lab at the Broad Institute of MIT and Harvard and Harvard University.
Last summer, we posted about our bioinformatics quest , which led us to Seqera Labs , a company that provides open source workflow orchestration software for data pipeline processing (Nextflow), cloud infrastructure, and secure collaboration.
Predicting 3D protein structures from amino acid sequences has been an important long-standing question in bioinformatics. Predicting 3D protein structures from amino acid sequences has been an important long-standing question in bioinformatics. In recent years, deep.
The expression of ANKRD22 in LUAD and its enriched pathway were analyzed by bioinformatics analysis. Bioinformatics analysis, qRT-PCR, and western blot showed that ANKRD22 was highly expressed in LUAD, which had a positive connection with M2 marker genes. Mitochondrial membrane potential was assessed using the JC-1 probe.
Property Prediction Machine Learning Methods for Small Data Challenges in Molecular Science [link] Practical guidelines for the use of gradient boosting for molecular property prediction [link] Application of message passing neural networks for molecular property prediction [link] Molecular Similarity Molecular Similarity: Theory, Applications, and (..)
About the author Dr Sayoni Das SVP Bioinformatics at PrecisionLife Sayoni leads the research and development of bioinformatics pipelines that generate biological insights from PrecisionLife’s core technology and support drug discovery programmes.
Rensselaer Polytechnic Institute’s Catherine Royer, Constellation Chair Professor of Bioinformatics and Biocomputation at the Shirley Ann Jackson, Ph.D.
Pharmacodynamic targets of metformin were predicted using the Bioinformatics Analysis Tool for the molecular mechanism of traditional Chinese medicine (BATMAN), Drugbank, PharmMapper, SwissTargetPrediction, and TargetNet databases.
Recent advances in bioinformatics show clonal neoantigens are the best targets for immunotherapy, as I will elucidate below. Using powerful bioinformatics technology developed and validated with sequence data from the TRACERx study, researchers are able to identify clonal neoantigens from a patient’s unique tumour profile.
RNA sequencing (RNA-seq) and bioinformatics analyses of HCC cells were utilized to elucidate the mechanism underlying the effects of BRU in HCC. However, the exact mechanism of BRU in the treatment of hepatocellular carcinoma (HCC) remains unknown.
Genes related to acacetin and esophageal cancer were predicted by bioinformatics analysis. In this work, esophageal squamous carcinoma cell lines were subjected to increasing doses of acacetin, and the proliferative, migrative, invasive and apoptotic phenotypes were evaluated by a series of in vitro experiments.
Bioinformatics analysis was performed to predict the molecular targets of COP. Cell counting kit-8 (CCK-8), scratch healing assay, Transwell assay, and flow cytometry were used to detect cell growth, migration, invasion, and cell cycle progression.
Moreover, bioinformatics analysis has suggested that hsa_circRNA_103820 possesses potential peptide-coding ability. Abstract N6-methyladenosine (m6A) modification and m6A-related RNA-binding proteins (RBPs) play vital roles in various aspects of circRNA metabolism.
Bioinformatic network analyses indicated alterations in cellular signaling nodes. The clonal knockout cells were markedly less responsive to IL-6-stimulated migration in a scratch wound assay compared to the wildtype cells.
Moreover, bioinformatic analysis and cell viability test showed A6 plays anticancer role by regulating Best1 and HIST1H2BJ. A total of 153 genes were increased, and the expression of 81 genes was decreased.
1 The study reveals a novel bioinformatic approach and tool that holds the potential to empower researchers in designing vaccines capable of inducing a stronger immune response. Since December 2019, SARS-CoV-2 (COVID-19) infection has become a worldwide urgent public health concern.
Homeobox B7 (HOXB7) expression in CRC was analyzed and detected by bioinformatics analysis, quantitative real-time PCR or western blot. Following the treatment of 0, 1.94, 7.75, or 19.36 μM μM THA, CRC cell viability, apoptosis, migration, and invasion were evaluated by methyl tetrazolium, flow cytometry, wound-healing, and transwell assays.
Bioinformatics analysis predicted cathepsin B (CTSB) as a target of hederagenin to modulate NOD-like receptor (NLR) pathway. NLRP3 inhibitor MCC950 attenuated HG-induced fibrosis of renal cells, and its activator nigericin reversed the suppressive effect of hederagenin on HG-induced fibrosis.
Mouse Clinical Trials (MCTs) are a cornerstone of preclinical oncology research, providing valuable insights into drug efficacy and biomarker discovery. However, the success of these trials hinges on precise study design, appropriate model selection, and rigorous data analysis.
Then, Bioinformatics was applied to sort out the candidate interacting with Stachydrine as well as its expression and downstream target in BC. Abstract Considering the therapeutic efficacy of Stachydrine on breast cancer (BC), this study aims to decipher the relevant mechanism.
In present study, LINC00460 was screened out through bioinformatics analysis. The prognostic value of long noncoding RNA (lncRNA) LINC00460 has been reported in cervical cancer. However, its effect on DDP sensitivity in cervical cancer remains poorly understood. The sensitivity to DDP was investigated using an CCK8 assay.
Bioinformatics and functional analyses indicated that these proteins were predominantly involved in protein synthesis and translation. Our investigation indicated that plumbagin markedly inhibited the LoVo cells proliferation, and induced the apoptosis in LoVo cells, simultaneously induced G0/G1 phase cell cycle arrest.
Hsa-miR-503-5p expression in LUAD and the target gene downstream of hsa-miR-503-5p was predicted by bioinformatics analysis. Abstract The study aimed to assess the role of hsa-miR-503-5p in cisplatin resistance and angiogenesis in LUAD and its underlying mechanisms.
The bioinformatics website, dual luciferase reporter assay, and quantitative real-time polymerase chain reaction were applied to analyze the network among EVO, lncRNA, miR-152-3p, and mRNA. Abstract Evodiamine (EVO) has been demonstrated to promote apoptosis of ovarian cancer cells, and upregulate miR-152-3p level in colorectal cancer.
EMBL’s European Bioinformatics Institute (EMBL-EBI) has launched the Pathogens Portal – an online platform that enables researchers, clinicians, and policymakers to access the most comprehensive collection of biomolecular data about pathogens.
Prof Rory Johnson is an Associate Professor at University College Dublin, where his research focusses on uncovering the roles of long noncoding RNAs (lncRNAs) in human health and disease using an interdisciplinary combination of bioinformatic and experimental methods.
We assessed the effect of HSYA and NF-κB signaling pathway-related genes by bioinformatics analysis and conducted molecular docking to assess the interaction of HSYA with a combined protein residue molecule ligand. Western blot was employed to investigate NF-κB transcription factors in chondrocyte metabolism.
Proteomic and bioinformatic analyses demonstrated an increased number of differentially expressed proteins with clozapine that were enriched in pathways related to inflammation, myeloid cell chemotaxis, wounding, transforming growth factor (TGF)-β signaling, and negative regulation of stimuli response.
The integration of artificial intelligence (AI) and bioinformatics into oncology research has revolutionized how we approach drug discovery, tumor modeling, and patient-specific therapy design. In silico models, which rely on computational simulations and predictive frameworks, are now central to preclinical research and precision medicine.
Using our bioinformatics expertise, we then map those profiles onto a large database of patient data – the AACR Project GENIE database – to translationally predict which tumour types are likely to be most responsive to monotherapy or combination therapy to our drug candidate.
Organizing Committee By Rose Circeo March 8, 2024 Breadcrumb Home Organizing Committee Sumaiya Iqbal, Co-chair Group Leader, Bioinformatics and Computational Biology, CDoT Wengong Jin, Co-chair Postdoc, Eric and Wendy Schmidt Center Holly Soutter, General Committee Member Director, Biochemistry and Biophysics, CDoT Eric Sigel, General Committee Member (..)
Organizing Committee By Rose Circeo March 8, 2024 Breadcrumb Home Organizing Committee Sumaiya Iqbal, Co-chair Group Leader, Bioinformatics and Computational Biology, CDoT Wengong Jin, Co-chair Postdoc, Eric and Wendy Schmidt Center Holly Soutter, General Committee Member Director, Biochemistry and Biophysics, CDoT Eric Sigel, General Committee Member (..)
Huajun Zhou, Binchen Mao, and Sheng Guo from our Data Science & Bioinformatics Division published a research paper titled “ Mathematical Modeling of Tumor Growth in Preclinical Mouse Models with Applications in Biomarker Discovery and Drug Mechanism Studies ”.
Amir Feizi is the Director of Bioinformatics at OMass Therapeutics, a spinout from Professor Dame Carol Robinson’s Laboratory at the University of Oxford. Their work was recently published in Bioinformatics. We chat with him about otargen, and the importance of sharing open-source resources within the bioinformatics community.
Led by researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI), Cold Spring Harbor Laboratory (CSHL), and the Massachusetts Institute of Technology (MIT), the work focuses on understanding why some tumours fail to respond to immune checkpoint blockade (ICB) […]
We have published our study on " SynAI " in the journal " Bioinformatics Advances " (November 2023). I am excited to share with you a significant advancement in the field of cancer research, the culmination of recent efforts by my team and me.
Machine Learning in Drug Discovery Symposium 2023 | Opening Remarks By Rose Circeo October 27, 2023 Breadcrumb Home Machine Learning in Drug Discovery Symposium 2023 | Opening Remarks Sumaiya Iqbal Group Leader Bioinformatics and Computational Biology Group Center for the Development of Therapeutics Broad Institute Alex Burgin Senior Director Center (..)
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