Meir Glick

According to our database1, Meir Glick authored at least 16 papers between 1993 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
PepSeA: Peptide Sequence Alignment and Visualization Tools to Enable Lead Optimization.
J. Chem. Inf. Model., 2022

2020
Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure-Activity Relationship Models?
J. Chem. Inf. Model., 2020

2016
Public Domain HTS Fingerprints: Design and Evaluation of Compound Bioactivity Profiles from PubChem's Bioassay Repository.
J. Chem. Inf. Model., 2016

2015
Experimental Design Strategy: Weak Reinforcement Leads to Increased Hit Rates and Enhanced Chemical Diversity.
J. Chem. Inf. Model., 2015

2013
Bioturbo Similarity Searching: Combining Chemical and Biological Similarity To Discover Structurally Diverse Bioactive Molecules.
J. Chem. Inf. Model., 2013

2011
Activity-Aware Clustering of High Throughput Screening Data and Elucidation of Orthogonal Structure-Activity Relationships.
J. Chem. Inf. Model., 2011

2009
SPREAD - exploiting chemical features that cause differential activity behavior.
Stat. Anal. Data Min., 2009

Gaining Insight into Off-Target Mediated Effects of Drug Candidates with a Comprehensive Systems Chemical Biology Analysis.
J. Chem. Inf. Model., 2009

How Similar Are Similarity Searching Methods? A Principal Component Analysis of Molecular Descriptor Space.
J. Chem. Inf. Model., 2009

2007
Understanding False Positives in Reporter Gene Assays: in Silico Chemogenomics Approaches To Prioritize Cell-Based HTS Data.
J. Chem. Inf. Model., 2007

2006
Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases.
J. Chem. Inf. Model., 2006

Enrichment of High-Throughput Screening Data with Increasing Levels of Noise Using Support Vector Machines, Recursive Partitioning, and Laplacian-Modified Naive Bayesian Classifiers.
J. Chem. Inf. Model., 2006

"Bayes Affinity Fingerprints" Improve Retrieval Rates in Virtual Screening and Define Orthogonal Bioactivity Space: When Are Multitarget Drugs a Feasible Concept?
J. Chem. Inf. Model., 2006

2004
Application of Machine Learning To Improve the Results of High-Throughput Docking Against the HIV-1 Protease.
J. Chem. Inf. Model., 2004

2002
Pattern recognition and massively distributed computing.
J. Comput. Chem., 2002

1993
Extending crystallographic information with semiempirical quantum mechanics and molecular mechanics: A case of aspartic proteinases.
J. Chem. Inf. Comput. Sci., 1993


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