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  1. Article ; Online: A Plasmodium falciparum RING Finger E3 Ubiquitin Ligase Modifies the Roles of PfMDR1 and PfCRT in Parasite Drug Responses.

    Singh, Brajesh K / Zhang, Cui / Wu, Jian / Peng, Yu-Chih / He, Xiao / Tumas, Keyla C / Sá, Juliana M / Lane, Kristin D / Eastman, Richard T / Narum, David L / Wellems, Thomas E / Su, Xin-Zhuan

    Antimicrobial agents and chemotherapy

    2023  Volume 67, Issue 2, Page(s) e0082122

    Abstract: Protein ubiquitination is an important posttranslational regulation mechanism that ... ...

    Abstract Protein ubiquitination is an important posttranslational regulation mechanism that mediates
    MeSH term(s) Humans ; Antimalarials/pharmacology ; Chloroquine/pharmacology ; Drug Resistance/genetics ; Malaria, Falciparum/drug therapy ; Membrane Transport Proteins/genetics ; Multidrug Resistance-Associated Proteins/genetics ; Plasmodium falciparum/drug effects ; Plasmodium falciparum/genetics ; Protozoan Proteins/genetics ; Protozoan Proteins/metabolism ; Ubiquitin-Protein Ligases/genetics ; Ubiquitin-Protein Ligases/metabolism
    Chemical Substances Antimalarials ; Chloroquine (886U3H6UFF) ; Membrane Transport Proteins ; Multidrug Resistance-Associated Proteins ; Protozoan Proteins ; Ubiquitin-Protein Ligases (EC 2.3.2.27)
    Language English
    Publishing date 2023-01-10
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Intramural
    ZDB-ID 217602-6
    ISSN 1098-6596 ; 0066-4804
    ISSN (online) 1098-6596
    ISSN 0066-4804
    DOI 10.1128/aac.00821-22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Novel Transmission-Blocking Antimalarials Identified by High-Throughput Screening of Plasmodium berghei Ookluc.

    Calit, Juliana / Araújo, Jessica E / Deng, Bingbing / Miura, Kazutoyo / Gaitán, Xiomara A / Araújo, Maisa da Silva / Medeiros, Jansen F / Long, Carole A / Simeonov, Anton / Eastman, Richard T / Bargieri, Daniel Y

    Antimicrobial agents and chemotherapy

    2023  Volume 67, Issue 4, Page(s) e0146522

    Abstract: Safe and effective malaria transmission-blocking chemotherapeutics would allow a community-level approach to malaria control and eradication efforts by targeting the mosquito sexual stage of the parasite life cycle. However, only a single drug, ... ...

    Abstract Safe and effective malaria transmission-blocking chemotherapeutics would allow a community-level approach to malaria control and eradication efforts by targeting the mosquito sexual stage of the parasite life cycle. However, only a single drug, primaquine, is currently approved for use in reducing transmission, and drug toxicity limits its widespread implementation. To address this limitation in antimalarial chemotherapeutics, we used a recently developed transgenic Plasmodium berghei line, Ookluc, to perform a series of high-throughput
    MeSH term(s) Animals ; Humans ; Antimalarials/pharmacology ; Antimalarials/therapeutic use ; Plasmodium berghei ; High-Throughput Screening Assays ; Malaria/prevention & control ; Primaquine/therapeutic use ; Plasmodium falciparum ; Malaria, Vivax/drug therapy ; Culicidae ; Malaria, Falciparum/drug therapy
    Chemical Substances Antimalarials ; Primaquine (MVR3634GX1)
    Language English
    Publishing date 2023-03-01
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Intramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 217602-6
    ISSN 1098-6596 ; 0066-4804
    ISSN (online) 1098-6596
    ISSN 0066-4804
    DOI 10.1128/aac.01465-22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Small molecule antiviral compound collection (SMACC): A comprehensive, highly curated database to support the discovery of broad-spectrum antiviral drug molecules.

    Martin, Holli-Joi / Melo-Filho, Cleber C / Korn, Daniel / Eastman, Richard T / Rai, Ganesha / Simeonov, Anton / Zakharov, Alexey V / Muratov, Eugene / Tropsha, Alexander

    Antiviral research

    2023  Volume 217, Page(s) 105620

    Abstract: Diseases caused by new viruses cost thousands if not millions of human lives and trillions of dollars. We have identified, collected, curated, and integrated all chemogenomics data from ChEMBL for 13 emerging viruses that hold the greatest potential ... ...

    Abstract Diseases caused by new viruses cost thousands if not millions of human lives and trillions of dollars. We have identified, collected, curated, and integrated all chemogenomics data from ChEMBL for 13 emerging viruses that hold the greatest potential threat to global human health. By identifying and solving several challenges related to data annotation accuracy, we developed a highly curated and thoroughly annotated database of compounds tested in both phenotypic and target-based assays for these viruses that we dubbed SMACC (Small Molecule Antiviral Compound Collection). The pilot version of the SMACC database contains over 32,500 entries for 13 viruses. By analyzing data in SMACC, we have identified ∼50 compounds with polyviral inhibition profile, mostly covering flavi- and coronaviruses. The SMACC database may serve as a reference for virologists and medicinal chemists working on the development of novel BSA agents in preparation for future viral outbreaks. SMACC is publicly available at https://smacc.mml.unc.edu.
    MeSH term(s) Humans ; Antiviral Agents/pharmacology ; Viruses/genetics ; Databases, Factual ; Coronavirus Infections
    Chemical Substances Antiviral Agents
    Language English
    Publishing date 2023-05-09
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Intramural ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 306628-9
    ISSN 1872-9096 ; 0166-3542
    ISSN (online) 1872-9096
    ISSN 0166-3542
    DOI 10.1016/j.antiviral.2023.105620
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Quantitative Bioactivity Signatures of Dietary Supplements and Natural Products.

    Yasgar, Adam / Bougie, Danielle / Eastman, Richard T / Huang, Ruili / Itkin, Misha / Kouznetsova, Jennifer / Lynch, Caitlin / McKnight, Crystal / Miller, Mitch / Ngan, Deborah K / Peryea, Tyler / Shah, Pranav / Shinn, Paul / Xia, Menghang / Xu, Xin / Zakharov, Alexey V / Simeonov, Anton

    ACS pharmacology & translational science

    2023  Volume 6, Issue 5, Page(s) 683–701

    Abstract: Dietary supplements and natural products are often marketed as safe and effective alternatives to conventional drugs, but their safety and efficacy are not well regulated. To address the lack of scientific data in these areas, we assembled a collection ... ...

    Abstract Dietary supplements and natural products are often marketed as safe and effective alternatives to conventional drugs, but their safety and efficacy are not well regulated. To address the lack of scientific data in these areas, we assembled a collection of Dietary Supplements and Natural Products (DSNP), as well as Traditional Chinese Medicinal (TCM) plant extracts. These collections were then profiled in a series of
    Language English
    Publishing date 2023-04-14
    Publishing country United States
    Document type Journal Article
    ISSN 2575-9108
    ISSN (online) 2575-9108
    DOI 10.1021/acsptsci.2c00194
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Nonspecific membrane bilayer perturbations by ivermectin underlie SARS-CoV-2

    Eastman, Richard T / Rusinova, Radda / Herold, Karl F / Huang, Xi-Ping / Dranchak, Patricia / Voss, Ty C / Rana, Sandeep / Shrimp, Jonathan H / White, Alex D / Hemmings, Hugh C / Roth, Bryan L / Inglese, James / Andersen, Olaf S / Dahlin, Jayme L

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Since it was proposed as a potential host-directed antiviral agent for SARS-CoV-2, the antiparasitic drug ivermectin has been investigated thoroughly in clinical trials, which have provided insufficient support for its clinical efficacy. To examine the ... ...

    Abstract Since it was proposed as a potential host-directed antiviral agent for SARS-CoV-2, the antiparasitic drug ivermectin has been investigated thoroughly in clinical trials, which have provided insufficient support for its clinical efficacy. To examine the potential for ivermectin to be repurposed as an antiviral agent, we therefore undertook a series of preclinical studies. Consistent with early reports, ivermectin decreased SARS-CoV-2 viral burden in
    Language English
    Publishing date 2023-10-24
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.10.23.563088
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Deep learning identifies synergistic drug combinations for treating COVID-19.

    Jin, Wengong / Stokes, Jonathan M / Eastman, Richard T / Itkin, Zina / Zakharov, Alexey V / Collins, James J / Jaakkola, Tommi S / Barzilay, Regina

    Proceedings of the National Academy of Sciences of the United States of America

    2021  Volume 118, Issue 39

    Abstract: Effective treatments for COVID-19 are urgently needed. However, discovering single-agent therapies with activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been challenging. Combination therapies play an important role in ... ...

    Abstract Effective treatments for COVID-19 are urgently needed. However, discovering single-agent therapies with activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been challenging. Combination therapies play an important role in antiviral therapies, due to their improved efficacy and reduced toxicity. Recent approaches have applied deep learning to identify synergistic drug combinations for diseases with vast preexisting datasets, but these are not applicable to new diseases with limited combination data, such as COVID-19. Given that drug synergy often occurs through inhibition of discrete biological targets, here we propose a neural network architecture that jointly learns drug-target interaction and drug-drug synergy. The model consists of two parts: a drug-target interaction module and a target-disease association module. This design enables the model to utilize drug-target interaction data and single-agent antiviral activity data, in addition to available drug-drug combination datasets, which may be small in nature. By incorporating additional biological information, our model performs significantly better in synergy prediction accuracy than previous methods with limited drug combination training data. We empirically validated our model predictions and discovered two drug combinations, remdesivir and reserpine as well as remdesivir and IQ-1S, which display strong antiviral SARS-CoV-2 synergy in vitro. Our approach, which was applied here to address the urgent threat of COVID-19, can be readily extended to other diseases for which a dearth of chemical-chemical combination data exists.
    MeSH term(s) Adenosine Monophosphate/analogs & derivatives ; Alanine/analogs & derivatives ; Antiviral Agents/pharmacology ; COVID-19/drug therapy ; Cell Survival/drug effects ; Deep Learning ; Drug Combinations ; Drug Interactions ; Drug Synergism ; Humans ; SARS-CoV-2
    Chemical Substances Antiviral Agents ; Drug Combinations ; remdesivir (3QKI37EEHE) ; Adenosine Monophosphate (415SHH325A) ; Alanine (OF5P57N2ZX)
    Language English
    Publishing date 2021-09-15
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, N.I.H., Intramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2105070118
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A systematic and prospectively validated approach for identifying synergistic drug combinations against malaria.

    KalantarMotamedi, Yasaman / Eastman, Richard T / Guha, Rajarshi / Bender, Andreas

    Malaria journal

    2018  Volume 17, Issue 1, Page(s) 160

    Abstract: Background: Nearly half of the world's population (3.2 billion people) were at risk of malaria in 2015, and resistance to current therapies is a major concern. While the standard of care includes drug combinations, there is a pressing need to identify ... ...

    Abstract Background: Nearly half of the world's population (3.2 billion people) were at risk of malaria in 2015, and resistance to current therapies is a major concern. While the standard of care includes drug combinations, there is a pressing need to identify new combinations that can bypass current resistance mechanisms. In the work presented here, a combined transcriptional drug repositioning/discovery and machine learning approach is proposed.
    Methods: The integrated approach utilizes gene expression data from patient-derived samples, in combination with large-scale anti-malarial combination screening data, to predict synergistic compound combinations for three Plasmodium falciparum strains (3D7, DD2 and HB3). Both single compounds and combinations predicted to be active were prospectively tested in experiment.
    Results: One of the predicted single agents, apicidin, was active with the AC50 values of 74.9, 84.1 and 74.9 nM in 3D7, DD2 and HB3 P. falciparum strains while its maximal safe plasma concentration in human is 547.6 ± 136.6 nM. Apicidin at the safe dose of 500 nM kills on average 97% of the parasite. The synergy prediction algorithm exhibited overall precision and recall of 83.5 and 65.1% for mild-to-strong, 48.8 and 75.5% for moderate-to-strong and 12.0 and 62.7% for strong synergies. Some of the prospectively predicted combinations, such as tacrolimus-hydroxyzine and raloxifene-thioridazine, exhibited significant synergy across the three P. falciparum strains included in the study.
    Conclusions: Systematic approaches can play an important role in accelerating discovering novel combinational therapies for malaria as it enables selecting novel synergistic compound pairs in a more informed and cost-effective manner.
    MeSH term(s) Antimalarials/pharmacology ; Antimalarials/therapeutic use ; Drug Combinations ; Drug Discovery ; Drug Repositioning ; Drug Synergism ; Humans ; Machine Learning ; Malaria, Falciparum/drug therapy ; Malaria, Falciparum/prevention & control ; Plasmodium falciparum/drug effects ; Plasmodium falciparum/genetics ; Protozoan Proteins/genetics ; Protozoan Proteins/metabolism
    Chemical Substances Antimalarials ; Drug Combinations ; Protozoan Proteins
    Language English
    Publishing date 2018-04-11
    Publishing country England
    Document type Journal Article
    ISSN 1475-2875
    ISSN (online) 1475-2875
    DOI 10.1186/s12936-018-2294-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Correction to Remdesivir: A Review of Its Discovery and Development Leading to Human Clinical Trials for Treatment of COVID-19.

    Eastman, Richard T / Roth, Jacob S / Brimacombe, Kyle R / Simeonov, Anton / Shen, Min / Patnaik, Samarjit / Hall, Matthew D

    ACS central science

    2020  Volume 6, Issue 6, Page(s) 1009

    Abstract: This corrects the article DOI: 10.1021/acscentsci.0c00489.]. ...

    Abstract [This corrects the article DOI: 10.1021/acscentsci.0c00489.].
    Keywords covid19
    Language English
    Publishing date 2020-06-16
    Publishing country United States
    Document type Journal Article ; Published Erratum
    ISSN 2374-7943
    ISSN 2374-7943
    DOI 10.1021/acscentsci.0c00747
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel Structures.

    Mason, Daniel J / Eastman, Richard T / Lewis, Richard P I / Stott, Ian P / Guha, Rajarshi / Bender, Andreas

    Frontiers in pharmacology

    2018  Volume 9, Page(s) 1096

    Abstract: ... The ... ...

    Abstract The parasite
    Language English
    Publishing date 2018-10-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2018.01096
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A platform of assays for the discovery of anti-Zika small-molecules with activity in a 3D-bioprinted outer-blood-retina model.

    Dorjsuren, Dorjbal / Eastman, Richard T / Song, Min Jae / Yasgar, Adam / Chen, Yuchi / Bharti, Kapil / Zakharov, Alexey V / Jadhav, Ajit / Ferrer, Marc / Shi, Pei-Yong / Simeonov, Anton

    PloS one

    2022  Volume 17, Issue 1, Page(s) e0261821

    Abstract: The global health emergency posed by the outbreak of Zika virus (ZIKV), an arthropod-borne flavivirus causing severe neonatal neurological conditions, has subsided, but there continues to be transmission of ZIKV in endemic regions. As such, there is ... ...

    Abstract The global health emergency posed by the outbreak of Zika virus (ZIKV), an arthropod-borne flavivirus causing severe neonatal neurological conditions, has subsided, but there continues to be transmission of ZIKV in endemic regions. As such, there is still a medical need for discovering and developing therapeutical interventions against ZIKV. To identify small-molecule compounds that inhibit ZIKV disease and transmission, we screened multiple small-molecule collections, mostly derived from natural products, for their ability to inhibit wild-type ZIKV. As a primary high-throughput screen, we used a viral cytopathic effect (CPE) inhibition assay conducted in Vero cells that was optimized and miniaturized to a 1536-well format. Suitably active compounds identified from the primary screen were tested in a panel of orthogonal assays using recombinant Zika viruses, including a ZIKV Renilla luciferase reporter assay and a ZIKV mCherry reporter system. Compounds that were active in the wild-type ZIKV inhibition and ZIKV reporter assays were further evaluated for their inhibitory effects against other flaviviruses. Lastly, we demonstrated that wild-type ZIKV is able to infect a 3D-bioprinted outer-blood-retina barrier tissue model and disrupt its barrier function, as measured by electrical resistance. One of the identified compounds (3-Acetyl-13-deoxyphomenone, NCGC00380955) was able to prevent the pathological effects of the viral infection on this clinically relevant ZIKV infection model.
    MeSH term(s) Animals ; Antiviral Agents/chemistry ; Antiviral Agents/pharmacology ; Chlorocebus aethiops ; Drug Evaluation, Preclinical ; Hep G2 Cells ; Humans ; Models, Biological ; Printing, Three-Dimensional ; Retina/metabolism ; Retina/virology ; Vero Cells ; Virus Replication/drug effects ; Virus Replication/genetics ; Zika Virus/physiology ; Zika Virus Infection/drug therapy ; Zika Virus Infection/genetics ; Zika Virus Infection/metabolism
    Chemical Substances Antiviral Agents
    Language English
    Publishing date 2022-01-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0261821
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