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Michael Fernández | doi.page

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Michael Fernández

The University of Texas Health Science Center(US)The University of Texas Health Science Center at Houston(US)

Publications by Year

Research Areas

Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, Acute Myeloid Leukemia Research, Enzyme Catalysis and Immobilization

Most-Cited Works

→ The value of antimicrobial peptides in the age of resistance(2020)1,072 cited
→ Interaction of Akt-Phosphorylated Ataxin-1 with 14-3-3 Mediates Neurodegeneration in Spinocerebellar Ataxia Type 1(2003)413 cited
→ Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking(2022)367 cited
→ MicroRNA Fingerprints Identify miR-150 as a Plasma Prognostic Marker in Patients with Sepsis(2009)355 cited
→ Proprioceptor Pathway Development Is Dependent on MATH1(2001)304 cited
→ Rapid and Accurate Machine Learning Recognition of High Performing Metal Organic Frameworks for CO₂ Capture(2014)290 cited

→ The transformational role of GPU computing and deep learning in drug discovery(2022)

251 cited

→ Large-Scale Quantitative Structure–Property Relationship (QSPR) Analysis of Methane Storage in Metal–Organic Frameworks(2013)234 cited

→ Atomic Property Weighted Radial Distribution Functions Descriptors of Metal–Organic Frameworks for the Prediction of Gas Uptake Capacity(2013)167 cited

→ Genome-wide enhancer prediction from epigenetic signatures using genetic algorithm-optimized support vector machines(2012)129 cited