Goncearenco, Alexander

MutaBind2: predicting the impacts of single and multiple mutations on protein-protein interactions

Zhang, N., Chen, Y., Lu, H., Zhao, F., Alvarez, R. V., Goncearenco, A., Panchenko, A. R., & Li, M. (2020) · iScience

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 199

From sequence to function through structure: deep learning for protein design

Ferruz, N., Heinzinger, M., Akdel, M., Goncearenco, A., Naef, L., & Dallago, C. (2022) · Computational and Structural Biotechnology Journal

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 124

MutaBind estimates and interprets the effects of sequence variants on protein–protein interactions

Li, M., Simonetti, F. L., Goncearenco, A., & Panchenko, A. R. (2016) · Nucleic Acids Research

Protein Structure and DynamicsGenomics and Rare Diseases

Cited by 118

Mutational signatures and mutable motifs in cancer genomes

Rogozin, I. B., Pavlov, Y. I., Goncearenco, A., De, S., Lada, A. G., Poliakov, E., Panchenko, A. R., & Cooper, D. N. (2017) · Briefings in Bioinformatics

Cancer Genomics and DiagnosticsGenomics and Phylogenetic Studies

Cited by 58

DNA polymerase η mutational signatures are found in a variety of different types of cancer

Rogozin, I. B., Goncearenco, A., Lada, A. G., De, S., Yurchenko, V., Nudelman, G., Panchenko, A. R., Cooper, D. N., & Pavlov, Y. I. (2018) · Cell Cycle

DNA Repair MechanismsCancer Genomics and Diagnostics

Cited by 39

Activation induced deaminase mutational signature overlaps with CpG methylation sites in follicular lymphoma and other cancers

Rogozin, I. B., Lada, A. G., Goncearenco, A., Green, M. R., De, S., Nudelman, G., Panchenko, A. R., Koonin, E. V., & Pavlov, Y. I. (2016) · Scientific Reports

Cancer Genomics and DiagnosticsLymphoma Diagnosis and Treatment

Cited by 33