Results 241 to 250 of about 111,549 (295)

Proteogenomic approach to immunopeptidomics of ovarian tumors identifies shared peptide vaccine candidates. [PDF]

NPJ Vaccines
Chiaro J, Peltonen K, Õunap K, Bailey A, Feola S, Wojciechowski S, Es-Haghi M, Azkargorta M, Elortza F, Russo S, Sallinen H, Anttila M, Gurvich O, Cerullo V, Kekarainen T.   +14 more
europepmc   +1 more source

Artificial Intelligence and the Evolving Landscape of Immunopeptidomics

PROTEOMICS – Clinical Applications, EarlyView.
ABSTRACT Background Immunopeptidomics is the large‐scale study of peptides presented by major histocompatibility complex (MHC) molecules and plays a central role in neoantigen discovery and cancer immunotherapy. However, the complexity of mass spectrometry data, the diversity of peptide sources, and variability in immune responses present major ...
Thanh Hoa Vo, Edel McNeela, Orla O'Donovan, Sweta Rani, Jai Prakash Mehta   +4 more
wiley   +1 more source

AlphaFold and Docking Approaches for Antibody–Antigen and Other Targets: Insights From CAPRI Rounds 47–55

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Accurate modeling of the structures of protein–protein complexes and other biomolecular interactions represents a longstanding and important challenge for computational biology. The Critical Assessment of PRedicted Interactions (CAPRI) experiment has served for over two decades as a key means to assess and compare current approaches and ...
Ragul Gowthaman, Minjae Park, Rui Yin, Johnathan D. Guest, Brian G. Pierce   +4 more
wiley   +1 more source

Editorial: Post-transplant monitoring for allograft rejection. [PDF]

Front Transplant
Hod-Dvorai R, Gohh R.
europepmc   +1 more source

Biomolecular Interaction Prediction in the Pre‐ and Post‐AlphaFold Era: The 8th CAPRI Evaluation

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (excluding the CASP and COVID‐related Rounds), which have witnessed the transition to AI‐driven prediction tools such as AlphaFold and related alternatives. The prediction Rounds in this evaluation are characterized by a high level of difficulty due
Marc F. Lensink, Nessim Raouraoua, Guillaume Brysbaert, Sameer Velankar, Shoshana J. Wodak, Alexandre M. J. J. Bonvin   +5 more
wiley   +1 more source

A Comprehensive Review of Novel Advances in Type 1 Diabetes Mellitus. [PDF]

J Diabetes
Ebrahimpour Y, Khatami S, Saffar M, Fereidouni A, Biniaz Z, Erfanian N, Fereidouni M.   +6 more
europepmc   +1 more source

Future Directions and Priorities for Cellular Therapy in Sarcoma: A Report from the Strategic Advances in Sarcoma Science Cell Therapy Breakout. [PDF]

Cancers (Basel)
Oliva-Ramirez J, Milewski D, Banks L, Bailey KM, Moding EJ, Lake J, Chen A, Daley JD, Resch EE, Kaplan RN, Ladle BH, Zhang L, Chou MM, Nguyen R, Dagalakis U, Al Akoum N, Sorensen PH, Fletcher JA, DeMatteo R, Llosa NJ, Pollack SM.   +20 more
europepmc   +1 more source

Identification of <i>HLA-A</i>, <i>HLA-B</i>, and <i>HLA-C</i> triple homozygous and double homozygous donors: a path toward synthetic superdonor advanced therapeutic medicinal products. [PDF]

Front Immunol
Naumovas D, Rojas-Araya B, Polanco CM, Andrade V, Čekauskienė R, Valatkaitė-Rakštienė B, Laurinaitytė I, Jakubauskas A, Stoškus M, Griškevičius L, Nalvarte I, Inzunza J, Baltriukienė D, Arias J.   +13 more
europepmc   +1 more source

Multiple sclerosis: molecular pathogenesis and therapeutic intervention. [PDF]

Signal Transduct Target Ther
Boutitah-Benyaich I, Eixarch H, Villacieros-Álvarez J, Hervera A, Cobo-Calvo Á, Montalban X, Espejo C.   +6 more
europepmc   +1 more source