-
101
Residue-resolved insights into the stabilization of therapeutic proteins by excipients: A case study of two monoclonal antibodies with arginine and glutamate
Published 2024-12-01“…Protein formulation development relies on the selection of excipients that inhibit protein–protein interactions preventing aggregation. Empirical strategies involve screening many excipient and buffer combinations by physicochemical characterization using forced degradation or temperature-induced stress, mostly under accelerated conditions. …”
Get full text
Article -
102
Regulation of stress granule maturation and dynamics by poly(ADP-ribose) interaction with PARP13
Published 2025-01-01“…Overall, our study uncovers the important role of PAR-protein interactions in stress granule dynamics and maturation, mediated through PARP13.…”
Get full text
Article -
103
Serum Glycoproteomics and Identification of Potential Mechanisms Underlying Alzheimer’s Disease
Published 2021-01-01“…Functions and pathways associated with protein-protein interactions were identified in AD. Significant changes in these proteins can indicate the molecular mechanisms involved in the pathogenesis of AD, and they have the potential to serve as AD biomarkers. …”
Get full text
Article -
104
Investigation of the physicochemical properties and pharmacokinetics of the active compounds in Quercus infectoria gall extract
Published 2024-12-01“…Ellagic acid, a polyphenol with antioxidant and anticancer properties, has complex pharmacokinetics due to conjugate formation and protein interactions. Gallic acid may impact its distribution, while phlorizin is being studied for its potential to inhibit glucosidase in diabetes management. …”
Get full text
Article -
105
Changes in RNA Splicing: A New Paradigm of Transcriptional Responses to Probiotic Action in the Mammalian Brain
Published 2025-01-01“…The Lacidofil<sup>®</sup> altogether altered 2941 differential splicing events, predominantly, skipped exon (SE) and mutually exclusive exon (MXE) events. Protein–protein interactions and a KEGG analysis of differentially spliced genes (DSGs) revealed consistent enrichment in the spliceosome and vesicle transport complexes, as well as in pathways related to neurodegenerative diseases, synaptic function and plasticity, and substance addiction across brain regions. …”
Get full text
Article -
106
A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology
Published 2025-01-01“…Two distinct methodologies—one analyzing mutation clustering within protein sequences and 3D structures, the other leveraging protein-protein interaction network topology—offer complementary strengths. …”
Get full text
Article -
107
Extraction, GC-MS analysis, cytotoxic, anti-inflammatory and anticancer potential of Cannabis sativa female flower; in vitro, in vivo and in silico
Published 2025-02-01“…The bioinformatics analysis of molecular docking proved significant ligand-protein interactions of CBD, THC, and humulene with cancer-associated proteins such as PD-1/PD-L1, TNF-α, and MMP-9. …”
Get full text
Article -
108
Transcriptional Activity of PGC-1α and NT-PGC-1α Is Differentially Regulated by Twist-1 in Brown Fat Metabolism
Published 2012-01-01“…These findings show that differences in inhibitory protein-protein interactions of PGC-1α and NT-PGC-1α with Twist-1 lead to differential regulation of their function by Twist-1.…”
Get full text
Article -
109
Replication-transcription complex of coronaviruses: functions of individual viral non-structural subunits, properties and architecture of their complexes
Published 2022-04-01“…This review will encompass current, modern studies on the properties and complexes of individual non-structural subunits of the RTC, the structures of individual coronavirus RTC subunits, domain organization and functions of subunits, protein-protein interactions, properties and architectures of subunit complexes, the effect of mutations, and the identif ication of mutations affecting the viability of the virus in cell culture.…”
Get full text
Article -
110
Networking Salt Inducible Kinase 1 Regulatory Perturbations on Type 2 Diabetes- Breast Cancer Co-Morbidity Associated Molecular Bridge
Published 2025-01-01“…Gene mutations, and transcription factors (TF), hub proteins and microRNA (miRNA) associated with SIK1 and its protein-protein interactions (PPIs) were extracted from MuTarget and EnrichR, respectively. …”
Get full text
Article -
111
Effect of Pea Resistant Starch on Emulsion Gel Properties and in Vitro Digestibility of Myofibrillar Proteins
Published 2024-12-01“…The addition of pea RS3 significantly decreased the surface hydrophobicity (P < 0.05) while increasing the fluorescence intensity of MP, indicating enhanced protein-protein interactions. The addition of pea RS3 resulted in improved stability of MP emulsions, as manifested by higher absolute values of zeta potential, smaller droplet sizes and reduced creaming index. …”
Get full text
Article -
112
Candidate Genes Associated with Delayed Neuropsychomotor Development and Seizures in a Patient with Ring Chromosome 20
Published 2020-01-01“…Therefore, in this study, we can explore molecular cytogenetic data, identify proteins through network analysis of protein-protein interactions, and identify new candidate genes associated with the main clinical findings in patients with 20q13.33 deletions.…”
Get full text
Article -
113
Investigating the functional and structural effect of non-synonymous single nucleotide polymorphisms in the cytotoxic T-lymphocyte antigen-4 gene: An in-silico study.
Published 2025-01-01“…ConSurf predicted conservation scores for four nsSNPs, and Project Hope suggested that all mutations could disrupt protein interactions. Furthermore, mCSM and DynaMut2 analyses indicated a decrease in ΔΔG stability for the mutants. …”
Get full text
Article -
114
Computational and In silico study of novel fungicides against combating root rot, gray mold, fusarium wilt, and cereal rust.
Published 2025-01-01“…Next, two docking tools, such as AutoDock by PyRx and Molecular Docking by Glide from the Schrödinger suite, were used to convey the docking score, and ligand protein interactions against four main proteases, for instance 7VEM, 8H6Q, 8EBB, and 7XDS having name of pathogens: Phytophthora capsici, Botrytis cinerea, Fusarium oxysporum f. sp. lycopersici, and Puccinia graminis f. sp. tritici, respectively. …”
Get full text
Article -
115
Acyl-CoA Thioesterase 1 Contributes to Transition of Steatosis to Metabolic-Associated Steatohepatitis
Published 2024-01-01“…Acyl-CoA thioesterase 1 (ACOT1) was identified as a critical node in the protein-protein interaction (PPI) network of the transition from steatosis to MASH in patient samples. …”
Get full text
Article -
116
An Overview of the Intrinsic Role of Citrullination in Autoimmune Disorders
Published 2019-01-01“…This modification leads to a charge shift, which affects the protein structure, protein-protein interactions, and hydrogen bond formation, and it may cause protein denaturation. …”
Get full text
Article -
117
Molecular characterization and functional annotation of a hypothetical protein (SCO0618) of A3(2)
Published 2020-09-01“…Furthermore, protein-protein interactions of selected hypothetical protein revealed several functional partners those have the significant role for the bacterial survival. …”
Get full text
Article -
118
Problems of creating antibody phage libraries and their solutions
Published 2024-04-01“…It has also become the basis for efficient and relatively inexpensive methods for studying protein–protein interactions, receptor binding sites, as well as epitope and mimotope identification. …”
Get full text
Article -
119
In Vitro Antibacterial, Antioxidant, Cytotoxicity Activity, and In Silico Molecular Modelling of Compounds Isolated from Roots of Hydnora johannis
Published 2024-01-01“…Binding affinity scores of catechin (3)-protein interactions are in line with those from in vitro tests, indicating its potential antibacterial effect. …”
Get full text
Article -
120
A graph neural network approach for hierarchical mapping of breast cancer protein communities
Published 2025-01-01“…Deep learning can automatically learn features from protein sequences and protein–protein interactions for hierarchical clustering. Results Using a large amount of publicly available proteomics data, we created a hierarchical tree for breast cancer protein communities using a novel hierarchical graph neural network, with the supervision of gene ontology terms and assistance of a pre-trained deep contextual language model. …”
Get full text
Article