Coacervation driven by liquid‐liquid phase separation (LLPS) of biopolymers has garnered increasing attention in biology since this leads to the formation of membraneless organelles capable of performing essential yet largely unknown functions. This review highlights recent advances in coacervates (artificial condensates) composed of low‐molecular ...
Sayuri L. Higashi, Masato Ikeda
wiley +1 more source
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi+4 more
wiley +1 more source
Studies on the determination of the sequence of amino acids in peptides and proteins. 4. The synthesis of 3-(4′-dimethylamino-3′:5′-dinitrophenyl)-2-thiohydantoin derivatives of various amino acids, and their use for amino acid-sequence determinations [PDF]
W Reith, Norman M. Waldron
openalex +1 more source
Toward Design Principles for Biomolecular Condensates for Metabolic Pathways
Biomolecular condensates are membrane‐less compartments found through‐out nature which can serve as reaction crucibles for biochemical processes. This review explores the design strategies underlying how condensates can be used in biotechnology to enhance multistep enzyme cascades including enhancement by mass action and substrate channeling, and ...
Alain A.M. André+3 more
wiley +1 more source
Site of synthesis of the peptide component of the cell wall of Bacillus megaterium [PDF]
P. Brookes, A.R. Crathorn, G. D. Hunter
openalex +1 more source
The manuscript examines preclinical murine and human models to study polycystic ovary syndrome (PCOS), delving into the cellular and molecular mechanisms underlying altered ovarian follicular dynamics. It explores the cellular interactions involved in normal and PCOS ovaries and outlines the current and novel strategies in the search for preclinical ...
Arturo Bevilacqua+5 more
wiley +1 more source
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor [PDF]
Deep learning holds a big promise for optimizing existing peptides with more desirable properties, a critical step towards accelerating new drug discovery. Despite the recent emergence of several optimized Antimicrobial peptides(AMP) generation methods, multi-objective optimizations remain still quite challenging for the idealism-realism tradeoff. Here,
arxiv
Discovery of Proteomics based on Machine learning [PDF]
The ultimate target of proteomics identification is to identify and quantify the protein in the organism. Mass spectrometry (MS) based on label-free protein quantitation has mainly focused on analysis of peptide spectral counts and ion peak heights. Using several observed peptides (proteotypic) can identify the origin protein.
arxiv
The Regulation of Trace Metal Elements in Cancer Ferroptosis
The induction of ferroptosis inhibits tumor growth, enhances anticancer efficacy, and overcomes drug resistance. Recent evidence shows nonferrous metal elements play a role in ferroptosis. This review focuses on how trace metals regulate ferroptosis processes like iron accumulation, lipid peroxidation, and antioxidant defense.
Xiaoyan Wang+5 more
wiley +1 more source
LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides [PDF]
Cell-penetrating peptides (CPPs) are powerful vectors for the intracellular delivery of a diverse array of therapeutic molecules. Despite their potential, the rational design of CPPs remains a challenging task that often requires extensive experimental efforts and iterations.
arxiv