11 citations · 25 across the 9 of their papers we have counts for
4 papers · 1 filter
Using Graph Neural Networks for Mass Spectrometry Prediction
Hao Zhu, Liping Liu, Soha Hassoun
Detecting and quantifying products of cellular metabolism using Mass Spectrometry (MS) has already shown great promise in many biological and biomedical applications. The biggest c…
ASAP-SML: An Antibody Sequence Analysis Pipeline Using Statistical Testing and Machine Learning
Xinmeng Li, James A. Van Deventer, Soha Hassoun
Antibodies are capable of potently and specifically binding individual antigens and, in some cases, disrupting their functions. The key challenge in generating antibody-based inhib…
Learning graph representations of biochemical networks and its application to enzymatic link prediction
Julie Jiang, Li-Ping Liu, Soha Hassoun
The complete characterization of enzymatic activities between molecules remains incomplete, hindering biological engineering and limiting biological discovery. We develop in this w…
Enzyme promiscuity prediction using hierarchy-informed multi-label classification
Gian Marco Visani, Michael C. Hughes, Soha Hassoun
As experimental efforts are costly and time consuming, computational characterization of enzyme capabilities is an attractive alternative. We present and evaluate several machine-l…