Structural biology of ferritin nanocages
FEBS Letters, EarlyView.Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
A review of deep learning methods for ligand based drug virtual screening
Fundamental ResearchDrug discovery is costly and time consuming, and modern drug discovery endeavors are progressively reliant on computational methodologies, aiming to mitigate temporal and financial expenditures associated with the process.
Hongjie Wu +6 more
doaj +1 more source
Docking and QSAR Studies of Camptothecin Derivatives as Inhibitor of DNA Topoisomerase-I [PDF]
, 2011 Camptothecin (CPT) is a cytotoxic quinoline alkaloid which inhibits the DNA enzyme Topoisomerase-I (Topo-I) and has shown remarkable anticancer activity in preliminary clinical trials. The major limitation is its low solubility and high adverse reaction.
Dharmendra K. Yadav +2 more
core +2 more sources
Algebraic shortcuts for leave-one-out cross-validation in supervised network inference [PDF]
, 2020 Supervised machine learning techniques have traditionally been very successful at reconstructing biological networks, such as protein-ligand interaction, protein-protein interaction and gene regulatory networks.
Airola, Antti +4 more
core +1 more source
Bispecific antibodies: A guide to model informed drug discovery and development
Heliyon, 2021 Affinity (KD) optimization of monoclonal antibodies is one of the factors that impacts the stoichiometric binding and the corresponding efficacy of a drug.
Irina Kareva +3 more
doaj +1 more source
Polymorphic drug metabolising enzymes:Assessment of activities by phenotyping and genotyping in clinical pharmacology [PDF]
, 2001 Drug effects (pharmacodynamics) are determined by drug concentration at target site and the affinity of the drug for a target. Pharmacogenetics describes inherited differences in drug metabolising enzyme activities and differences in drug transporters ...
Tamminga, Willem Jan
core +2 more sources
Use of single-chain antibody derivatives for targeted drug delivery [PDF]
, 2016 Single-chain antibodies (scFvs), which contain only the variable domains of full-length antibodies, are relatively small molecules that can be used for selective drug delivery.
Ahmadzadeh, V. +5 more
core +1 more source
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
Molecular Oncology, EarlyView.The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
Dipeptide Frequency of Word Frequency and Graph Convolutional Networks for DTA Prediction
Frontiers in Bioengineering and Biotechnology, 2020 Deep learning is an effective method to capture drug-target binding affinity, but low accuracy is still an obstacle to be overcome. Thus, we propose a novel predictor for drug-target binding affinity based on dipeptide frequency of word frequency ...
Xianfang Wang +6 more
doaj +1 more source