IMGT/RobustpMHC: robust training for class-I MHC peptide binding prediction.

The accurate prediction of peptide-major histocompatibility complex (MHC) class I binding probabilities is a critical endeavor in immunoinformatics, with broad implications for vaccine development and immunotherapies. While recent deep neural network based approaches have showcased promise in peptide-MHC (pMHC) prediction, they have two shortcomings: (i) they rely on hand-crafted pseudo-sequence extraction, (ii) they do not generalize well to different datasets, which limits the practicality of these approaches. While existing methods rely on a 34 amino acid pseudo-sequence, our findings uncover the involvement of 147 positions in direct interactions between MHC and peptide.

Chemical Composition and Lipid Bioactive Components of Dwelling in Bulgaria.

is a plant common in southern Bulgaria. The inflorescences were collected during June and September 2021, while their seeds were obtained in September 2021. The chemical and lipid composition of the inflorescences during the vegetation process of the plant were established.

IMGT/mAb-KG: the knowledge graph for therapeutic monoclonal antibodies.

Introduction: Therapeutic monoclonal antibodies (mAbs) have demonstrated promising outcomes in diverse clinical indications, including but not limited to graft rejection, cancer, and autoimmune diseases lately.Recognizing the crucial need for the scientific community to quickly and easily access dependable information on monoclonal antibodies (mAbs), IMGT®, the international ImMunoGeneTics information system®, provides a unique and invaluable resource: IMGT/mAb-DB, a comprehensive database of therapeutic mAbs, accessible via a user-friendly web interface. However, this approach restricts more sophisticated queries and segregates information from other databases.

Assessment of the biological activity of Boiss. ().

Present scientific evidences about the biological activity and potential medical application of extracts derived from Boiss. are limited. Therefore, our study was undertaken to define several main characteristics in this regard - cytotoxicity and antitumor properties, antibacterial activity and immunomodulatory potential.

Metabolic Composition of Methanolic Extract of the Balkan Endemic Species Velen and Its Anti-Inflammatory Effect on Male Wistar Rats.

Extracts from medicinal plants are widely used in the treatment and prevention of different diseases. is a Balkan endemic species with reported antioxidant and antimicrobial characteristics; however, its phytochemical composition is not well defined. Here, we examined the metabolome of by chromatography-mass spectrometry (GC-MS), ultra-performance liquid chromatography-mass spectrometry (UPLC-MS-MS), and inductively coupled plasma mass spectrometry (ICP-MS).