Yasushi Okuno

Hirosaki University — Japan

Computer Science · Physical Sciences

52h-index9.2kcitations411works2.32yr avg
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Research Topics

Computational Drug Discovery Methods(83), Protein Structure and Dynamics(43), Bioinformatics and Genomic Networks(42), Machine Learning in Materials Science(36), Cancer therapeutics and mechanisms(30)

Publications411 total

Using Machine Learning to Identify Factors Affecting Antibody Production and Adverse Reactions After COVID-19 Vaccination
Vaccines·2026Open Access
Predictors of Bleeding Complications After Extracorporeal Cardiopulmonary Resuscitation
JACC Asia·2025Open Access
RWD155 Real-World Evidence of Atezolizumab in Unresectable Recurrent NSCLC: Insights From Japan's Next-Generation Medical Infrastructure Act
Value in Health·2025
Molecular recognition of natural compounds by MR1 and their implication in MAIT cell activation elucidated through McMD-based dynamic docking simulations
Scientific Reports·2025· 1 citedOpen Access
intDesc-AbMut: Describing and understanding how antibody mutations impact their environmental interactions <sup>1</sup>
2025Open Access
Predicting measurement continuity in home blood pressure monitoring using machine learning
Hypertension Research·2025· 1 citedOpen Access
Mutation of CMTR2 in Lung Adenocarcinoma Alters RNA Alternative Splicing and Reveals Therapeutic Vulnerabilities
Nature Communications·2025· 2 citedOpen Access
Improving ADME Prediction with Multitask Graph Neural Networks and Assessing Explainability in Lead Optimization
Journal of Chemical Information and Modeling·2025Open Access
Explainable Artificial Intelligence for Prognostic Stratification in Out-of-Hospital Cardiac Arrest Patients Undergoing Extracorporeal Cardiopulmonary Resuscitation
2025Open Access
Improving ADME Prediction with Multitask Graph Neural Networks and Assessing Explainability in Lead Optimization
2025
Empowering Federated Learning for Robust Compound-Protein Interaction Prediction across Heterogeneous Cross-Pharma Domains
2025
Predicting mortality dynamics in cancer patients: A machine learning approach to pre-death events
PLoS ONE·2025Open Access
Network analysis reveals causal relationships among individual background risk factors leading to influenza susceptibility
Scientific Reports·2025· 2 citedOpen Access
Conversion of an agonistic anti-TNFR2 biparatopic antibody into an antagonist by insertion of peptide linkers into the hinge region
Journal of Biological Chemistry·2025· 1 citedOpen Access
Quantitative Assessment of Microsurgical Skill in Intrascleral Fixation Surgery Using Wearable Strain Sensors: A Pilot Study
Translational Vision Science & Technology·2025· 2 citedOpen Access
Out-of-distribution reject option method for dataset shift problem in early disease onset prediction
Scientific Reports·2025Open Access
Diverse, Stable, and Efficient All-Atom Structure Sampling Based on Parallelized Coarse-Grained Elastic Network Model
2025
Improving ADME Prediction with Multitask Graph Neural Networks and Assessing Explainability in Lead Optimization
2025
Peripheral blood <i>GATA2</i> expression impacts <i>RNF213</i> mutation penetrance and clinical severity in moyamoya disease
Stroke and Vascular Neurology·2025· 2 citedOpen Access
Generating Free-energy Landscapes and Mapping Conformational Transition Pathways from cryo-EM Images using a Deep Isometric Autoencoder
2025Open Access
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Frequent Co-authors

Gozoh Tsujimoto(10), Mitsugu Araki(8), Toshiyuki Sakaeda(5), Kaori Kadoyama(5), Mayumi Kamada(5), Naoya Fujita(5), Ryohei Katayama(5), Biao Ma(4), Soken Tsuchiya(4), Ryosuke Kojima(4), Kei Terayama(4), Minoru Kanehisa(3), Shigeyuki Matsumoto(3), J.B. Brown(3), Tomoko Oh‐hara(3), Osamu Ogawa(3), Shoichi Ishida(3), Hiroaki Iwata(3), Masahiro Hattori(2), Susumu Goto(2)