// Seong Kyu Han 1 , Dongyeop Lee Heetak Donghyo Kim Heehwa G. Son Jae-Seong Yang 4 Seung-Jae V. 1,2,3 and Sanguk Department of Life Sciences, Pohang University Science Technology, Pohang, Korea 2 IT Convergence Engineering, 3 School Interdisciplinary Bioscience Bioengineering, EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Barcelona, Spain Correspondence to: Lee, email: Kim, Keywords : web-service, statistics, survival, maximum lifespan, healthspan Received...

We investigated a sequential photocatalysis-dark reaction, wherein organic pollutants were degraded on Ag/TiO2 under UV irradiation and the dark reduction of hexavalent chromium (Cr(VI)) was subsequently followed. The photocatalytic oxidation 4-chlorophenol (4-CP), test substrate, induced generation degradation intermediates storage electrons in which then utilized for reducing Cr(VI) postirradiation period. efficiency much higher with (87%), compared bare TiO2 (27%) Pt/TiO2 (22%). removal...

Abstract Cancer patient classification using predictive biomarkers for anti-cancer drug responses is essential improving therapeutic outcomes. However, current machine-learning-based predictions of response often fail to identify robust translational from preclinical models. Here, we present a machine-learning framework by taking advantage network-based analyses pharmacogenomic data derived three-dimensional organoid culture The identified our approach accurately predict the 114 colorectal...

The oxidation of As(III) (arsenite) to As(V) (arsenate), a critical pretreatment process for total arsenic removal, is easily achieved using chemical methods. Hydrogen peroxide (H2O2) widely used as an environmentally benign oxidant but its practical use the arsenite limited by strong pH dependence and slow kinetics. This study demonstrated that H2O2-induced can be markedly enhanced in presence nonferrous metal oxides (e.g., WO3, TiO2, ZrO2) heterogeneous catalyst working over wide range...

The preoxidation of arsenite [As(III)] to arsenate [As(V)] is usually needed for efficient removal arsenic from water, and TiO2-based photocatalytic oxidation has been investigated as an environmentally benign process this purpose. efficiency can be markedly enhanced when using platinum (Pt) a cocatalyst, but its expensive material cost hinders practical application. Herein, we prepared the reduced graphene oxide (rGO) hybridized with TiO2 low-cost alternative Pt achieved highly activity...

Arsenite (As(III)) in water was demonstrated to be efficiently oxidized arsenate (As(V)) under 254 nm UV irradiation without needing any chemical reagents. Although the molar absorption coefficient of As(III) at is very low (2.49 ± 0.1 M(-1)cm(-1)), photooxidation proceeded with a quantum yield over 1.0, which implies chain propagating oxidation cycles. The rate highly enhanced presence dissolved oxygen, can ascribed its dual role as an electron acceptor photoexcited and precursor oxidizing...

Hepatocellular carcinoma (HCC) is developed by multiple steps accompanying progressive alterations of gene expression, which leads to increased cell proliferation and malignancy. Although environmental factors intracellular signaling pathways that are critical for HCC progression have been identified, expression changes the related genetic contributing pathogenesis still insufficiently understood. In this study, we identify a transcriptional repressor, Capicua (CIC), as suppressor potential...

Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment. However, only some patients respond to ICIs, and current biomarkers for ICI efficacy limited performance. Here, we devised an interpretable machine learning (ML) model trained using patient-specific cell-cell communication networks (CCNs) decoded from the patient's bulk tumor transcriptome. The could (i) predict across four types (median AUROC: 0.79) (ii) identify key pathways with crucial players responsible patient...

Although major driver gene mutations have been identified, the complex molecular heterogeneity of colorectal cancer (CRC) remains unclear. Capicua (CIC) functions as a tumor suppressor in various types cancers; however, its role CRC progression has not examined.Databases for expression profile patient samples were used to evaluate association levels CIC and Polyoma enhancer activator 3 (PEA3) group genes (ETS translocation variant 1 (ETV1), ETV4, ETV5), best-characterized targets terms...

Abstract Although peg-shaped lateral incisors are a common dental anomaly, the genetic mechanisms underlying poorly understood, particularly in cases without associated anomalies. The present study aimed to identify potential candidate genes contributing development of non-syndromic peg lateralis, by performing whole-exome sequencing (WES). Saliva samples were collected from 20 unrelated Korean individuals that were; not with other WES was conducted on these samples, and variants filtered...

Abstract Background Homologous recombination deficiency (HRD) stands as a clinical indicator for discerning responsive outcomes to platinum-based chemotherapy and poly ADP-ribose polymerase (PARP) inhibitors. One of the conventional approaches HRD prognostication has generally centered on identifying deleterious mutations within BRCA1/2 genes, along with quantifying genomic scars, such Genomic Instability Score (GIS) estimation scarHRD. However, scarHRD method limitations in scenarios...

Abstract New enzymes can be designed by starting from a description of an ideal active site composed catalytic residues surrounding the reaction transition state(s) and identifying or generating protein scaffold that supports 1–7 , but there are few current limitations. First, efficiencies achieved such efforts have generally been quite low, considerable optimization directed evolution has required to reach activities typical native enzymes. 8–10 Second, generative AI methods as RFdiffusion...

Mice have been widely used as a model organism to investigate human gene–phenotype relationships based on conjecture that orthologous genes generally perform similar functions and are associated with phenotypes. However, phenotypes often turn out be quite different between mouse. Herein, we devised method quantitatively compare annotations mouse models human. Using semantic similarity comparisons, identified phenotype annotations, of which the score is par random gene pairs. Analysis...

Mouse models have been engineered to reveal the biological mechanisms of human diseases based on an assumption. The assumption is that orthologous genes underlie conserved phenotypes across species. However, genetically modified mouse orthologs do not often recapitulate disease which might be due molecular evolution phenotypic differences species from time last common ancestor. Here, we systematically investigated evolutionary divergence regulatory relationships between transcription factors...

Genome-wide association studies have discovered a large number of genetic variants in human patients with the disease. Thus, predicting impact these is important for sorting disease-associated (DVs) from neutral variants. Current methods to predict mutational impacts depend on evolutionary conservation at mutation site, which determined using homologous sequences and based assumption that well-conserved sites high impacts. However, many DVs less-conserved but functionally cannot be predicted...

Poor translation between in vitro and clinical studies due to the cells/humans discrepancy drug target perturbation effects leads safety failures trials, thus increasing development costs reducing patients' life quality. Therefore, developing a predictive model for approval considering is needed reduce attrition rates trials.Our machine learning framework predicts trials based on effects. To evaluate predict (1404 approved 1070 unapproved drugs), we analysed CRISPR-Cas9 knockout...

Diverse molecular networks have been extensively studied to discover therapeutic targets and repurpose approved drugs. However, it is necessary select a suitable network since the performance of medicine relies heavily on completeness characteristics selected network. Although using gene essentiality from cancer cells could be an effective platform for identifying anticancer targets, efforts apply these in applications limited. We constructed phenotype-level co-essentiality relationship...