E. Gifford

发表

ADMET in silico modelling: towards prediction paradise?

H. van de Waterbeemd, E. Gifford, 2003, Nature reviews. Drug discovery.

Multi‐omics profiling of a CHO cell culture system unravels the effect of culture pH on cell growth, antibody titer, and product quality

Kok Siong Ang, E. Gifford, Dong-Yup Lee, 2021, Biotechnology and bioengineering.

Chemical Space: Missing Pieces in Cheminformatics

Barry A. Bunin, E. Gifford, S. Ekins, 2010, Pharmaceutical Research.

Using Open Source Computational Tools for Predicting Human Metabolic Stability and Additional Absorption, Distribution, Metabolism, Excretion, and Toxicity Properties

Sean Ekins, Barry A. Bunin, Moses Hohman, 2010, Drug Metabolism and Disposition.

Prediction of drug-like molecular properties: modeling cytochrome p450 interactions.

E. Gifford, S. Schefzick, C. Waller, 2004, Methods in molecular biology.

In silico prediction of ionization constants of drugs.

Saravanaraj N. Ayyampalayam, L. A. Carreira, Shobha N. Bhattachar, 2007, Molecular pharmaceutics.

An analysis of the relative occurrence of N-demethylation and N-oxidation in xenobiotic metabolism using structure-reactivity maps.

E. Gifford, M. Johnson, C. Tsai, 1994, SAR and QSAR in environmental research.

The development and validation of a computational model to predict rat liver microsomal clearance.

E. Gifford, D. B. Duignan, Kjell Johnson, 2009, Journal of pharmaceutical sciences.

Prediction of Drug-Like Molecular Properties

Chris L. Waller, Eric Gifford, Mehran Jalaie, 2004 .

Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships

Andy Liaw, Junshui Ma, Wei Min Wang, 2016, J. Chem. Inf. Model..

Systems chemical biology and the Semantic Web: what they mean for the future of drug discovery research.

Michael S Lajiness, Ying Ding, Amit P Sheth, 2012, Drug discovery today.

In silico ADME prediction: data, models, facts and myths.

Franco Lombardo, Eric Gifford, Marina Y Shalaeva, 2003, Mini reviews in medicinal chemistry.

Visualizing relative occurrences in metabolic transformations of xenobiotics using structure-activity maps

Mark A. Johnson, Chun Che Tsai, Mark A. Johnson, 1992, J. Chem. Inf. Comput. Sci..

Development of CYP3A4 Inhibition Models: Comparisons of Machine-Learning Techniques and Molecular Descriptors

Rieko Arimoto, E. Gifford, Madhu-Ashni Prasad, 2005, Journal of biomolecular screening.

Development of CYP 3 A 4 Inhibition Models : Comparisons of Machine-Learning Techniques and

Eric M. Gifford, Rieko Arimoto, E. Gifford, 2005 .

Quantitative Structure-property Relationships for Aqueous Solubilities of Halogenated Aromatic Compounds

E. Gifford, W. Acree, T. T. Blair, 1992 .

Improved QSARs for Predictive Toxicology of Halogenated Hydrocarbons

Ruth Pachter, Steven Trohalaki, Eric M. Gifford, 2000, Comput. Chem..

Modelling the relative metabolic occurrence of alkyl-nitrogen bond cleavage using structure-reactivity maps.

E. Gifford, C. Tsai, D. Kaiser, 1995, Xenobiotica; the fate of foreign compounds in biological systems.

Moving in Silico Screening into Practice: A Minimalist Approach to Guide Permeability Screening!!

Kjell Johnson, Chad L. Stoner, E. Gifford, 2006 .

Comparing bioassay response and similarity ensemble approaches to probing protein pharmacology

Bin Chen, David J. Wild, Nikil Wale, 2011, Bioinform..

Scaffold Searching: Automated Identification of Similar Ring Systems for the Design of Combinatorial Libraries

Peter Willett, David J. Wild, James B. Dunbar, 2002 .

Correction to Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships

Eric Gifford, Robert P Sheridan, Andy Liaw, 2020, J. Chem. Inf. Model..

A graph-theoretic approach to modeling metabolic pathways

Mark A. Johnson, Chun Che Tsai, Mark A. Johnson, 1991, J. Comput. Aided Mol. Des..