Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage, (261):119504, 2022. [PUMA: topic_neuroinspired topic_lifescience Ageing, Brain-age, Cardiovascular Explainable Structural a.i., deep factors, learning mri, risk] URL
Computational structure prediction for antibody-antigen complexes from hydrogen-deuterium exchange mass spectrometry: Challenges and outlook. Front. Immunol., (13):859964, Frontiers Media SA, May 2022. [PUMA: topic_lifescience (HDX-MS); antibody-antigen biology; docking; epitope-paratope exchange hydrogen-deuterium identification; integrative interaction; mass modeling protein-protein spectrometry structural structure]
Personalized structural biology reveals the molecular mechanisms underlying heterogeneous epileptic phenotypes caused by de novo KCNC2 variants. Human Genetics and Genomics Advances, (3)4:100131, 2022. [PUMA: topic_lifescience DEE, Diseases KCNC2, Network, Undiagnosed and biology, developmental disease dynamics electrophysiology, encephalopathy, epileptic interpretation, molecular personalized rare simulations, structural variant variant,] URL
Modeling of protein conformational changes with Rosetta guided by limited experimental data. Structure, (30)8:1157--1168.e3, Elsevier BV, August 2022. [PUMA: topic_lifescience EPR Rosetta; biology; changes; conformational dynamics; integrative modeling; molecular protein refinement spectroscopy; structural structure]
Structural damage identification of composite rotors based on fully connected neural networks and convolutional neural networks. Sensors (Basel), (21)6:2005, MDPI AG, March 2021. [PUMA: (SHM) composite composites; connected convolutional dense fully health learning; machine monitoring networks; neural rotors; structural]