Results 201 to 210 of about 239,963 (355)

Exploring relationships between tumor mutation burden with immunity and prognosis in lung adenocarcinoma based on weighted gene co‐expression network analysis

Precision Medical Sciences, EarlyView.
This study reveals that high TMB in lung adenocarcinoma correlates with better survival prognosis and lower immune/stromal scores. Through WGCNA and consensus clustering, we identify two LUAD subtypes with distinct prognoses and mutation frequencies, offering novel insights for immunotherapy response prediction and prognosis stratification.
Haiyong Wu, Jinzhuo Ren, Zhipeng Gong, Yan Zhang, Hua Zhang, Weikang Chen, Chenyang Zhao, Tao Fang   +7 more
wiley   +1 more source

A roadmap for T cell receptor-peptide-bound major histocompatibility complex binding prediction by machine learning: glimpse and foresight. [PDF]

Brief Bioinform
Qi F, Huang Q, Xuan Y, Cao Y, Shen Y, Ren Y, Liu Z, Zhang Z.   +7 more
europepmc   +1 more source

Organization and evolution of D region class I genes in the mouse major histocompatibility complex. [PDF]

, 1986
Danielle Stephan, Hu‐Nan Sun, K F Lindahl, Éric Meyer, Günter J. Hämmerling, L Hood, Michael Steinmetz   +6 more
openalex   +1 more source

Virus-Specific T-Cell Sensitization. Requirements for vaccinia virus specific T cell sensitization in vivo. [PDF]

, 1977
Ertl, Hildegund, Gerike, Rainer, Koszinowski, Ulrich H.   +2 more
core   +1 more source

Integrative Modeling in the Age of Machine Learning: A Summary of HADDOCK Strategies in CAPRI Rounds 47–55

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The HADDOCK team participated in CAPRI rounds 47–55 as server, manual predictor, and scorers. Throughout these CAPRI rounds, we used a plethora of computational strategies to predict the structure of protein complexes. Of the 10 targets comprising 24 interfaces, we achieved acceptable or better models for 3 targets in the human category and 1 ...
Victor Reys, Marco Giulini, Vlad Cojocaru, Anna Engel, Xiaotong Xu, Jorge Roel‐Touris, Cunliang Geng, Francesco Ambrosetti, Brian Jiménez‐García, Zuzana Jandova, Panagiotis I. Koukos, Charlotte van Noort, João M. C. Teixeira, Siri C. van Keulen, Manon Réau, Rodrigo V. Honorato, Alexandre M. J. J. Bonvin   +16 more
wiley   +1 more source

The Role of the Major Histocompatibility Complex Region on Chromosome 6 in Skin Atrophy: A Mendelian Randomization Study. [PDF]

J Cosmet Dermatol
Zhao C, Fan Z, Zhang R, Sun Y, Li WY.
europepmc   +1 more source

"HLA-C: evolution, epigenetics, and pathological implications in the major histocompatibility complex". [PDF]

Front Genet, 2023
Velastegui E, Vera E, Vanden Berghe W, Muñoz MS, Orellana-Manzano A.   +4 more
europepmc   +1 more source

Membrane Ia expression and antigen-presenting accessory cell function of L cells transfected with class II major histocompatibility complex genes. [PDF]

, 1984
Michael A. Norcross, D M Bentley, David H. Margulies, R N Germain   +3 more
openalex   +1 more source

Organization of the AKR Qa region [PDF]

, 1989
Bevec, Dorian, Grosshaus, C., Messer, Gerald, Schmidt, Walter, Schwemmle, Sabine, Steinmetz, M., Weiss, Elisabeth H.   +6 more
core   +1 more source

Massive Sampling Strategy for Antibody–Antigen Targets in CAPRI Round 55 With MassiveFold

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Massive sampling with AlphaFold2 improves protein–protein complex predictions. This has been shown during the last CASP15‐CAPRI blind prediction round by the AFsample tool. However, more difficult targets including antibody–antigen binding remain challenging. CAPRI Round 55 consisted of three antibody–antigen targets and one heterotrimer.
Nessim Raouraoua, Marc F. Lensink, Guillaume Brysbaert   +2 more
wiley   +1 more source