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Medicinal and Pharmaceutical Chemistry Commons™
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Articles 1 - 5 of 5
Full-Text Articles in Medicinal and Pharmaceutical Chemistry
De Novo Drug Design Using Transformer-Based Machine Translation And Reinforcement Learning Of An Adaptive Monte Carlo Tree Search, Dony Ang, Cyril Rakovski, Hagop S. Atamian
De Novo Drug Design Using Transformer-Based Machine Translation And Reinforcement Learning Of An Adaptive Monte Carlo Tree Search, Dony Ang, Cyril Rakovski, Hagop S. Atamian
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
The discovery of novel therapeutic compounds through de novo drug design represents a critical challenge in the field of pharmaceutical research. Traditional drug discovery approaches are often resource intensive and time consuming, leading researchers to explore innovative methods that harness the power of deep learning and reinforcement learning techniques. Here, we introduce a novel drug design approach called drugAI that leverages the Encoder–Decoder Transformer architecture in tandem with Reinforcement Learning via a Monte Carlo Tree Search (RL-MCTS) to expedite the process of drug discovery while ensuring the production of valid small molecules with drug-like characteristics and strong binding affinities towards …
Tolfenamic Acid Derivatives: A New Class Of Transcriptional Modulators With Potential Therapeutic Applications For Alzheimer’S Disease And Related Disorders, Juanetta Hill, Karim E. Shalaby, Syed W. Bihaqi, Bothaina H. Alansi, Benjamin Barlock, Keykavous Parang, Richard Thompson, Khalid Ourarhni, Nasser H. Zawia
Tolfenamic Acid Derivatives: A New Class Of Transcriptional Modulators With Potential Therapeutic Applications For Alzheimer’S Disease And Related Disorders, Juanetta Hill, Karim E. Shalaby, Syed W. Bihaqi, Bothaina H. Alansi, Benjamin Barlock, Keykavous Parang, Richard Thompson, Khalid Ourarhni, Nasser H. Zawia
Pharmacy Faculty Articles and Research
The field of Alzheimer’s disease (AD) has witnessed recent breakthroughs in the development of disease-modifying biologics and diagnostic markers. While immunotherapeutic interventions have provided much-awaited solutions, nucleic acid-based tools represent other avenues of intervention; however, these approaches are costly and invasive, and they have serious side effects. Previously, we have shown in AD animal models that tolfenamic acid (TA) can lower the expression of AD-related genes and their products and subsequently reduce pathological burden and improve cognition. Using TA as a scaffold and the zinc finger domain of SP1 as a pharmacophore, we developed safer and more potent brain-penetrating analogs …
Computational Design Of Β-Fluorinated Morphine Derivatives For Ph-Specific Binding, Nayiri Alexander, Makena Augenstein, Angelina Sorensen, Matthew Gartner
Computational Design Of Β-Fluorinated Morphine Derivatives For Ph-Specific Binding, Nayiri Alexander, Makena Augenstein, Angelina Sorensen, Matthew Gartner
Student Scholar Symposium Abstracts and Posters
Opioids such as morphine are important pain-relieving drugs but also carry a risk of harmful side effects including addiction. Morphine is active in both healthy and inflamed tissue, however, decreasing the pKa of the biochemically-active amine group can promote selective binding in the more acidic conditions of inflamed tissue and reduce harmful side effects associated with opioids. Herein, we explore the impact of fluorination on the pKa of fluoromorphine derivatives to identify which will bind selectively in inflamed tissue. Theoretical pKa values are determined at the M06-2X(SMD)/aug-cc-pVDZ level of theory to calculate the ΔGaq" …
Simplified Reversed Chloroquines To Overcome Malaria Resistance To Quinoline-Based Drugs, Bornface Gunsaru, Steven J. Burgess, Westin Morrill, Jane X. Kelly, Shawheen Shomloo, Martin J. Smilkstein, Katherine May Liebman, David H. Peyton
Simplified Reversed Chloroquines To Overcome Malaria Resistance To Quinoline-Based Drugs, Bornface Gunsaru, Steven J. Burgess, Westin Morrill, Jane X. Kelly, Shawheen Shomloo, Martin J. Smilkstein, Katherine May Liebman, David H. Peyton
Chemistry Faculty Publications and Presentations
Building on our earlier work of attaching a chemosensitizer (reversal agent) to a known drug pharmacophore, we have now expanded the structure-activity relationship study to include simplified versions of the chemosensitizer. The change from two aromatic rings in this head group to a single ring does not appear to detrimentally affect the antimalarial activity of the compounds. Data from in vitro heme binding and beta-hematin inhibition assays suggest that the single aromatic RCQ compounds retain activities against Plasmodium falciparum similar to those of CQ, although other mechanisms of action may be relevant to their activities.
Computational Prediction And Analysis Of The Napp – Dr6 Interaction: Implications For Alzheimer's Research, Joseph Audie, Sergei Y. Ponomarev
Computational Prediction And Analysis Of The Napp – Dr6 Interaction: Implications For Alzheimer's Research, Joseph Audie, Sergei Y. Ponomarev
Chemistry & Physics Faculty Publications
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that involves a devastating clinical course and lacks an effective treatment. A biochemical model for neuronal development, recently proposed by Nikolaev and co-workers, hinges on a novel protein-protein interaction between the death cell receptor six (DR6) ectodomain and an N-terminal fragment of amyloid precursor protein (NAPP). The model provides a coherent and satisfying framework for better understanding AD pathophysiology. Moreover, the DR6-NAPP interaction offers a tempting target for novel pharmacological intervention. Given all of this, we constructed a structural model of the DR6-NAPP interaction using the neurotrophin p75 receptor as a template. …