The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review
D Schwabe, K Becker, M Seyferth, A Klaß… - NPJ Digital …, 2024 - nature.com
The adoption of machine learning (ML) and, more specifically, deep learning (DL)
applications into all major areas of our lives is underway. The development of trustworthy AI …
applications into all major areas of our lives is underway. The development of trustworthy AI …
Stabilization challenges and aggregation in protein-based therapeutics in the pharmaceutical industry
Protein-based therapeutics have revolutionized the pharmaceutical industry and become
vital components in the development of future therapeutics. They offer several advantages …
vital components in the development of future therapeutics. They offer several advantages …
COLLAPSE: A representation learning framework for identification and characterization of protein structural sites
The identification and characterization of the structural sites which contribute to protein
function are crucial for understanding biological mechanisms, evaluating disease risk, and …
function are crucial for understanding biological mechanisms, evaluating disease risk, and …
Prediction of mutation-induced protein stability changes based on the geometric representations learned by a self-supervised method
SS Li, ZM Liu, J Li, YB Ma, ZY Dong, JW Hou… - BMC …, 2024 - Springer
Background Thermostability is a fundamental property of proteins to maintain their biological
functions. Predicting protein stability changes upon mutation is important for our …
functions. Predicting protein stability changes upon mutation is important for our …
[HTML][HTML] Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence
A Son, J Park, W Kim, Y Yoon, S Lee, Y Park, H Kim - Molecules, 2024 - mdpi.com
The field of computational protein engineering has been transformed by recent
advancements in machine learning, artificial intelligence, and molecular modeling, enabling …
advancements in machine learning, artificial intelligence, and molecular modeling, enabling …
Deep Learning on Local Sites for Protein Structure and Function Analysis
AWF Derry - 2024 - search.proquest.com
Understanding how the three-dimensional structure of a protein leads to its function is
important for determining disease mechanisms, develo** targeted therapeutics, and …
important for determining disease mechanisms, develo** targeted therapeutics, and …
[CITATION][C] The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review
D Laurentino Schwabe - Deutsche Nationalbibliothek