D. Visco

发表

EFFECT OF CATIONS ON THE ACTIVITY COEFFICIENT OF NO2-/NO3- CORROSION INHIBITORS IN SIMULATED CONCRETE PORE SOLUTION: AN ELECTROCHEMICAL THERMODYNAMICS STUDY

D. Bastidas, A. Mohamed, D. Visco, 2022, Corrosion Science.

Identifying new clotting factor XIa inhibitors in virtual high‐throughput screens using PCA‐GA‐SVM models and signature

Jonathan J. Chen, Lyndsey N. Schmucker, Jonathan J Chen, 2018, Biotechnology progress.

Sodium Succinate as a Corrosion Inhibitor for Carbon Steel Rebars in Simulated Concrete Pore Solution

D. Bastidas, A. Mohamed, D. Visco, 2022, Molecules.

Virtual high-throughput screens identifying hPK-M2 inhibitors: Exploration of model extrapolation

Jonathan J. Chen, Lyndsey N. Schmucker, Donald P. Visco, 2019, Comput. Biol. Chem..

Pharmaceutical Machine Learning: Virtual High-Throughput Screens Identifying Promising and Economical Small Molecule Inhibitors of Complement Factor C1s

Jonathan J. Chen, Lyndsey N. Schmucker, Jonathan J Chen, 2018, Biomolecules.

Identifying de‐NEDDylation inhibitors: Virtual high‐throughput screens targeting SENP8

Jonathan J. Chen, Lyndsey N. Schmucker, Jonathan J Chen, 2019, Chemical biology & drug design.

Identifying novel factor XIIa inhibitors with PCA-GA-SVM developed vHTS models.

Jonathan J. Chen, D. P. Visco, D. Visco, 2017, European journal of medicinal chemistry.

Developing an in silico pipeline for faster drug candidate discovery: Virtual high throughput screening with the Signature molecular descriptor using support vector machine models

Jonathan J. Chen, Donald P. Visco, D. Visco, 2017 .

SIGNIFICANCE OF π–ELECTRONS IN THE DESIGN OF CORROSION INHIBITORS FOR CARBON STEEL IN SIMULATED CONCRETE PORE SOLUTION

D. Bastidas, A. Mohamed, D. Visco, 2021, Corrosion.

Confirmation of predicted activity for factor XIa inhibitors from a virtual screening approach

D. P. Visco, Hang Li, N. Leipzig, 2014 .

The Signature Molecular Descriptor in Molecular Design: Past and Current Applications

J. J. Chen, D. P. Visco, J. J. Chen, 2017 .

Signature Molecular Descriptor: Advanced Applications

Donald Patrick Visco, D. Visco, 2010 .

Pharmaceutical Machine Learning: Virtual High-Throughput Screens Identifying Promising and Economical Small Molecule Inhibitors of Complement Factor C1s

Jonathan J. Chen, Lyndsey N. Schmucker, D. Visco, 2018, Biomolecules.

Developing a methodology for an inverse quantitative structure-activity relationship using the signature molecular descriptor.

Jean-Loup Faulon, Donald P Visco, Ramdas S Pophale, 2002, Journal of molecular graphics & modelling.