Properties of incompletely penetrant cardiomyopathy-associated genome variants by M. Zaychenoka, V. E. Ramenskiy, A. V. Kiseleva, A. A. Bukaeva, A. I. Ershova, A. N. Meshkov, O. M. Drapkina

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Enhancing Missense Variant Pathogenicity Prediction with MissenseNet: Integrating Structural Insights and ShuffleNet-Based Deep Learning Techniques by Jing Liu, Yingying Chen, Kai Huang, Xiao Guan

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Assessing the performance of 28 pathogenicity prediction methods on rare single nucleotide variants in coding regions by Jee Yeon Heo, Ju Han Kim

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Variability of the mitochondrial genome in young Yakut patients with breast cancer by D. G. Tikhonov, A. N. Egorov, M. V. Golubenko, A. Yu. Molokov, V. A. Belyavskaya, P. A. Gervas, N. A. Skryabin

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Benchmarking AlphaMissense pathogenicity predictions against APP, PSEN1, and PSEN2 variants of unknown significance by Joshua Pillai, Sophia Liu, Kijung Sung, Linda Shi, Chengbiao Wu

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Prediction of human pathogenic start loss variants based on self-supervised contrastive learning by Jie Liu, Henghui Fan, Na Cheng, Yansen Su, Junfeng Xia

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From chemoproteomic‐detected amino acids to genomic coordinates: insights into precise multi‐omic data integration by Maria F Palafox, Heta S Desai, Valerie A Arboleda, Keriann M Backus

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Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

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