Robert C. Reynolds

PRosettaC outperforms AlphaFold3 for modeling PROTAC ternary complexes

Preparation of von Hippel-Lindau (VHL) E3 ubiquitin ligase ligands exploiting constitutive hydroxyproline for benzylic amine protection

Novel Non-Cyclooxygenase Inhibitory Derivative of Sulindac Inhibits Breast Cancer Cell Growth In Vitro and Reduces Mammary Tumorigenesis in Rats

Targeted degrader technologies as prospective SARS-CoV-2 therapies

Molecule Property Analyses of Active Compounds for <i>Mycobacterium tuberculosis</i>

Identification of DOT1L inhibitors by structure-based virtual screening adapted from a nucleoside-focused library

Parallel Solution Phase Synthesis and Preliminary Biological Activity of a 5′-Substituted Cytidine Analog Library

Comparing and Validating Machine Learning Models for <i>Mycobacterium tuberculosis</i> Drug Discovery

Oxazole and Thiazole Analogs of Sulindac for Cancer Prevention

A small diversity library of α-methyl amide analogs of sulindac for probing anticancer structure-activity relationships

Diverse amide analogs of sulindac for cancer treatment and prevention

Synthesis and preliminary assessment of the anticancer and Wnt/β-catenin inhibitory activity of small amide libraries of fenamates and profens

Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of <i>Mycobacterium tuberculosis</i> Infection (2014–2015)

Screening and Development of New Inhibitors of FtsZ from M. Tuberculosis

Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets

Looking Back to the Future: Predicting <i>in Vivo</i> Efficacy of Small Molecules versus <i>Mycobacterium tuberculosis</i>

Are Bigger Data Sets Better for Machine Learning? Fusing Single-Point and Dual-Event Dose Response Data for <i>Mycobacterium tuberculosis</i>

Biochemical and Structural Characterization of Mycobacterial Aspartyl-tRNA Synthetase AspS, a Promising TB Drug Target

Identification of shikimate kinase inhibitors among anti-Mycobacterium tuberculosis compounds by LC-MS

Global Human-Kinase Screening Identifies Therapeutic Host Targets against Influenza

Enhancing Hit Identification in Mycobacterium tuberculosis Drug Discovery Using Validated Dual-Event Bayesian Models

A Chemical Proteomics Approach to Profiling the ATP-binding Proteome of Mycobacterium tuberculosis

Fusing Dual-Event Data Sets for <i>Mycobacterium tuberculosis</i> Machine Learning Models and Their Evaluation

Silibinin inhibits Wnt/β-catenin signaling by suppressing Wnt co-receptor LRP6 expression in human prostate and breast cancer cells