Modern untargeted mass spectrometry (MS) analyses quickly detect and resolve thousands of molecular compounds. Although features are readily annotated with a molecular formula in high-resolution small-molecule MS applications, the large majority of them remains unidentified in terms of their full molecular structure. Collision-induced dissociation tandem mass spectrometry (CID-MS) provides a diagnostic molecular fingerprint to resolve the molecular structure through a library search. However, for de novo identifications, one must often rely on in silico generated MS spectra as reference. The ability of different in silico algorithms to correctly predict MS spectra and thus to retrieve correct molecular structures is a topic of lively debate, for instance in the CASMI contest. Underlying the predicted MS spectra are the in silico generated product ion structures, which are normally not used in de novo identification, but which can serve to critically assess the fragmentation algorithms. Here we evaluate in silico generated MS product ion structures by comparison with structures established experimentally by infrared ion spectroscopy (IRIS). For a set of three dozen product ion structures from five precursor molecules, we find that virtually all fragment ion structure annotations in three major in silico MS libraries (HMDB, METLIN, mzCloud) are incorrect and caution the reader against their use for structure annotation of MS/MS ions.
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http://dx.doi.org/10.1038/s42004-024-01112-7 | DOI Listing |
Front Biosci (Landmark Ed)
December 2024
Department of Immunology, Institute of Biomedical Research Universidad Nacional Autónoma de México, UNAM, 04510 Mexico City, Mexico.
Background: Multiple sclerosis (MS) is a demyelinating, neuroinflammatory, progressive disease that severely affects human health of young adults. Neuroinflammation (NI) and demyelination, as well as their interactions, are key therapeutic targets to halt or slow disease progression. Potent steroidal anti-inflammatory drugs such as methylprednisolone (MP) and remyelinating neurosteroids such as allopregnanolone (ALLO) could be co-administered intranasally to enhance their efficacy by providing direct access to the central nervous system (CNS).
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December 2024
Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice, Via Torino 155, 30172 Mestre, Italy.
Computational generation of cyclic peptide inhibitors using machine learning models requires large size training data sets often difficult to generate experimentally. Here we demonstrated that sequential combination of Random Forest Regression with the pseudolikelihood maximization Direct Coupling Analysis method and Monte Carlo simulation can effectively enhance the design pipeline of cyclic peptide inhibitors of a tumor-associated protease even for small experimental data sets. Further studies showed that such -evolved cyclic peptides are more potent than the best peptide inhibitors previously developed to this target.
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December 2024
College of Chinese Materia Medica, Yunnan University of Chinese Medicine, Kunming, 650500, China.
Drug-drug co-amorphous systems are a promising approach to improve the aqueous solubility of poorly water-soluble drugs. This study explores the combination of breviscapine (BRE) and matrine (MAT) form an amorphous salt, aiming to synergistically enhance the solubility and dissolution of BRE. In silico analysis of electrostatic potential and local ionization energy were conducted on BRE-MAT complex to predict the intermolecular interactions, and solvent-free energies were calculated using thermodynamic integration and density functional theory.
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December 2024
Department of Biotechnology, Mahatma Gandhi Central University, Motihari, 845401, India.
Microtubules are dynamic cytoskeletal structures essential for cell architecture, cellular transport, cell motility, and cell division. Due to their dynamic nature, known as dynamic instability, microtubules can spontaneously switch between phases of growth and shortening. Disruptions in microtubule functions have been implicated in several diseases, including cancer, neurodegenerative disorders such as Alzheimer's and Parkinson's disease, and birth defects.
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December 2024
Neurogenetics Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.
Amyotrophic lateral sclerosis (ALS) is a devastating, uniformly lethal degenerative disease of motor neurons, presenting with relentlessly progressive muscle atrophy and weakness. More than fifty genes carrying causative or disease-modifying variants have been identified since the 1990s, when the first ALS-associated variant in the gene SOD1 was discovered. The most commonly mutated ALS genes in the European populations include the C9orf72, SOD1, TARDBP and FUS.
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