Zackary Falls

Assistant Professor

University at Buffalo - Downtown Campus

United States

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Zackary Falls is an Assistant Professor at the University at Buffalo - Downtown Campus, USA. His research areas encompass opioid use disorder, drug repurposing technologies, predictive toxicology, and the application of machine learning in analyzing protein features. His recent publications explore the intersection of chemical intuition, computational analysis, and clinical implications in various disease contexts, including chronic obstructive pulmonary disease and non-small cell lung cancer.

Articles (13)

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2024

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2022

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2022

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2021

Collaborators (9)

Stanley Schwartz

Distinguished Professor and Chief, Division of Allergy, Immunology, & Rheumatology

University at Buffalo Jacobs School of Medicine and Biomedical Sciences

UNITED STATES

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Rama Dey-Rao

Research Assistant Professor

University at Buffalo

UNITED STATES

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Matthew Morris

Rochester Institute of Technology

UNITED STATES

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Thomas Melendy

University at Buffalo

UNITED STATES

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Ram Samudrala

University at Buffalo

UNITED STATES

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Mingchen Gao

Assistant Professor

University at Buffalo

UNITED STATES

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Peter Elkin

Professor and Chair

University at Albany, State University of New York

UNITED STATES

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Jermaine Jenkins

Research Assistant Prof.

University of Rochester

UNITED STATES

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Manoj Mammen

Associate Professor

University of Rochester

UNITED STATES

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Zackary Falls

Research Interests

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Articles (13)

Incidence, Timing and Social Correlates of the Development of Opioid Use Disorder Among Clients Seeking Treatment for an Alcohol Use Problem: Changes Over the Three Waves of the Opioid Epidemic

The implications of APOBEC3-mediated C-to-U RNA editing for human disease

Building Chemical Intuition about Physicochemical Properties of C8-Per-/Polyfluoroalkyl Carboxylic Acids through Computational Means

Multiscale Analysis and Validation of Effective Drug Combinations Targeting Driver KRAS Mutations in Non-Small Cell Lung Cancer

Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology

Proteomic Network Analysis of Bronchoalveolar Lavage Fluid in Ex-Smokers to Discover Implicated Protein Targets and Novel Drug Treatments for Chronic Obstructive Pulmonary Disease

Accurate Prediction of Inhibitor Binding to HIV-1 Protease Using CANDOCK

Evaluating the performance of drug-repurposing technologies

Optimal COVID-19 therapeutic candidate discovery using the CANDO platform

Trends in Prescribing Opioids, Benzodiazepines, and Both Among Adults with Alcohol Use Disorder in New York State

A Deep-Learning Proteomic-Scale Approach for Drug Design

A fluorescence-based, gain-of-signal, live cell system to evaluate SARS-CoV-2 main protease inhibition

A synthetic small molecule stalls pre-mRNA splicing by promoting an early-stage U2AF2-RNA complex

Collaborators (9)

Stanley Schwartz

Rama Dey-Rao

Matthew Morris

Thomas Melendy

Ram Samudrala

Mingchen Gao

Peter Elkin

Jermaine Jenkins

Manoj Mammen

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