4.5 Article

Identification of small-molecule inhibitors of Trypansoma cruzi replication

期刊

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS
卷 21, 期 23, 页码 7197-7200

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.bmcl.2011.09.057

关键词

Trypansoma cruzi; Chagas disease; Molecular Libraries Probe Production Center Network (MLPCN)

资金

  1. NIH-MLPCN [1 U54 HG005032-1]

向作者/读者索取更多资源

We report the outcome of a high-throughput small-molecule screen to identify novel, nontoxic, inhibitors of Trypansoma cruzi, as potential starting points for therapeutics to treat for both the acute and chronic stages of Chagas disease. Two compounds were identified that displayed nanomolar inhibition of T. cruzi and an absence of activity against host cells at the highest tested dose. These compounds have been registered with NIH Molecular Libraries Program (probes ML157 and ML158). (C) 2011 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Chemistry, Medicinal

Design, synthesis, and evaluation of substrate - analogue inhibitors of Trypanosoma cruzi ribose 5-phosphate isomerase type B

Soledad Natalia Gonzalez, Jonathan J. Mills, Dante Maugeri, Christopher Olaya, Breana L. Laguera, Jeffrey R. Enders, Julian Sherman, Ana Rodriguez, Joshua G. Pierce, Juan Jose Cazzulo, Edward L. D'Antonio

Summary: The study discovered a competitive inhibitor Compound B targeting ribose 5-phosphate isomerase type B (RPI-B), which exhibited significant trypanocidal activity against T. cruzi infective life-stages. By targeting the active site residue Cys-69, this inhibitor provided a proof-of-concept for the development of next generation inhibitors with potential prodrug groups to treat Chagas' disease in the future.

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS (2021)

Article Biochemistry & Molecular Biology

Anti-Trypanosoma cruzi Activity of Metabolism Modifier Compounds

Nieves Martinez-Peinado, Clara Martori, Nuria Cortes-Serra, Julian Sherman, Ana Rodriguez, Joaquim Gascon, Jordi Alberola, Maria-Jesus Pinazo, Alheli Rodriguez-Cortes, Julio Alonso-Padilla

Summary: The study found that 17-DMAG has a strong inhibitory effect on T. cruzi, particularly during the intracellular replicative stage of the parasite. Molecular docking results suggest that 17-DMAG may bind T. cruzi Hsp90 homologue Hsp83 with good affinity. However, evaluation in a mouse model of chronic T. cruzi infection did not show parasite growth inhibition, highlighting challenges in transitioning from in vitro assays to preclinical drug development stages.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2021)

Article Biochemistry & Molecular Biology

The Human Phenotype Ontology in 2021

Sebastian Koehler, Michael Gargano, Nicolas Matentzoglu, Leigh C. Carmody, David Lewis-Smith, Nicole A. Vasilevsky, Daniel Danis, Ganna Balagura, Gareth Baynam, Amy M. Brower, Tiffany J. Callahan, Christopher G. Chute, Johanna L. Est, Peter D. Galer, Shiva Ganesan, Matthias Griese, Matthias Haimel, Julia Pazmandi, Marc Hanauer, Nomi L. Harris, Michael J. Hartnett, Maximilian Hastreiter, Fabian Hauck, Yongqun He, Tim Jeske, Hugh Kearney, Gerhard Kindle, Christoph Klein, Katrin Knoflach, Roland Krause, David Lagorce, Julie A. McMurry, Jillian A. Miller, Monica C. Munoz-Torres, Rebecca L. Peters, Christina K. Rapp, Ana M. Rath, Shahmir A. Rind, Avi Z. Rosenberg, Michael M. Segal, Markus G. Seidel, Damian Smedley, Tomer Talmy, Yarlalu Thomas, Samuel A. Wiafe, Julie Xian, Zafer Yueksel, Ingo Helbig, Christopher J. Mungall, Melissa A. Haendel, Peter N. Robinson

Summary: The Human Phenotype Ontology (HPO) serves as a global standard for phenotype exchange, with recent major extensions in neurology, nephrology, immunology, pulmonology, and other fields. Efforts have been made to improve computational definitions of phenotypic abnormalities across HPO and multiple phenotype ontologies for animal disease models, benefiting software accuracy and cross-species phenotype matching. Recent initiatives include translating HPO into indigenous languages and advancing its use in electronic health record systems.

NUCLEIC ACIDS RESEARCH (2021)

Article Microbiology

Identification of Trypanosoma cruzi Growth Inhibitors with Activity In Vivo within a Collection of Licensed Drugs

Nieves Martinez-Peinado, Nuria Cortes-Serra, Julian Sherman, Ana Rodriguez, Juan M. Bustamante, Joaquim Gascon, Maria-Jesus Pinazo, Julio Alonso-Padilla

Summary: Chagas disease, caused by the parasite Trypanosoma cruzi, has its greatest burden in Latin America. Existing treatments present toxicity and variable efficacy, highlighting the urgent need for new therapeutic strategies. Drug repositioning offers a fast and low-cost approach to identify safer and more effective chemotherapies for Chagas disease.

MICROORGANISMS (2021)

Correction Genetics & Heredity

A guide to writing systematic reviews of rare disease treatments to generate FAIRcompliant datasets: building a Treatabolome (vol 15, 206, 2020)

Antonio Atalaia, Rachel Thompson, Alberto Corvo, Leigh Carmody, Davide Piscia, Leslie Matalonga, Alfons Macaya, Angela Lochmuller, Bertrand Fontaine, Birte Zurek, Carles Hernandez-Ferrer, Carola Reinhard, David Gomez-Andres, Jean-Francois Desaphy, Katherine Schon, Katja Lohmann, Matthew J. Jennings, Matthis Synofzik, Olaf Riess, Rabah Ben Yaou, Teresinha Evangelista, Thiloka Ratnaike, Virginie Bros-Facer, Gulcin Gumus, Rita Horvath, Patrick Chinnery, Steven Laurie, Holm Graessner, Peter Robinson, Hanns Lochmuller, Sergi Beltran, Gisele Bonne

Summary: A correction to this paper has been published and is accessible through the original article.

ORPHANET JOURNAL OF RARE DISEASES (2021)

Article Genetics & Heredity

Interpretable prioritization of splice variants in diagnostic next-generation sequencing

Daniel Danis, Julius O. B. Jacobsen, Leigh C. Carmody, Michael A. Gargano, Julie A. McMurry, Ayushi Hegde, Melissa A. Haendel, Giorgio Valentini, Damian Smedley, Peter N. Robinson

Summary: The SQUIRLS algorithm tackles the challenge of assessing candidate splice variants by calculating information content, evaluating changes in regulatory sequences, and training random-forest classifiers to achieve high accuracy. It provides tabular output files for integration into diagnostic pipelines and visualizations, showcasing superior accuracy in rank analysis.

AMERICAN JOURNAL OF HUMAN GENETICS (2021)

Correction Genetics & Heredity

Interpretable prioritization of splice variants in diagnostic next-generation sequencing (vol 108, pg 1564, 2021)

Daniel Danis, Julius O. B. Jacobsen, Leigh C. Carmody, Michael A. Gargano, Julie A. McMurry, Ayushi Hegde, Melissa A. Haendel, Giorgio Valentini, Damian Smedley, Peter N. Robinson

AMERICAN JOURNAL OF HUMAN GENETICS (2021)

Article Genetics & Heredity

Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC)

Peter Horak, Malachi Griffith, Arpad M. Danos, Beth A. Pitel, Subha Madhavan, Xuelu Liu, Cynthia Chow, Heather Williams, Leigh Carmody, Lisa Barrow-Laing, Damian Rieke, Simon Kreutzfeldt, Albrecht Stenzinger, David Tamborero, Manuela Benary, Padma Sheila Rajagopal, Cristiane M. Ida, Harry Lesmana, Laveniya Satgunaseelan, Jason D. Merker, Michael Y. Tolstorukov, Paulo Vidal Campregher, Jeremy L. Warner, Shruti Rao, Maya Natesan, Haolin Shen, Jeffrey Venstrom, Somak Roy, Kayoko Tao, Rashmi Kanagal-Shamanna, Xinjie Xu, Deborah Ritter, Kym Pagel, Kilannin Krysiak, Adrian Dubuc, Yassmine M. Akkari, Xuan Shirley Li, Jennifer Lee, Ian King, Gordana Raca, Alex H. Wagner, Marylin M. Li, Sharon E. Plon, Shashikant Kulkarni, Obi L. Griffith, Debyani Chakravarty, Dmitriy Sonkin

Summary: Professional societies have published guidelines for the clinical interpretation of somatic variants, but they lack a direct, systematic, and comprehensive set of standards and rules for classification. This leads to inconsistent classification and affects patient care, emphasizing the need for addressing this issue.

GENETICS IN MEDICINE (2022)

Article Medicine, General & Internal

Characterizing Long COVID: Deep Phenotype of a Complex Condition

Rachel R. Deer, Madeline A. Rock, Nicole Vasilevsky, Leigh Carmody, Halie Rando, Alfred J. Anzalone, Marc D. Basson, Tellen D. Bennett, Timothy Bergquist, Eilis A. Boudreau, Carolyn T. Bramante, James Brian Byrd, Tiffany J. Callahan, Lauren E. Chan, Haitao Chu, Christopher G. Chute, Ben D. Coleman, Hannah E. Davis, Joel Gagnier, Casey S. Greene, William B. Hillegass, Ramakanth Kavuluru, Wesley D. Kimble, Farrukh M. Koraishy, Sebastian Kohler, Chen Liang, Feifan Liu, Hongfang Liu, Vithal Madhira, Charisse R. Madlock-Brown, Nicolas Matentzoglu, Diego R. Mazzotti, Julie A. McMurry, Douglas S. McNair, Richard A. Moffitt, Teshamae S. Monteith, Ann M. Parker, Mallory A. Perry, Emily Pfaff, Justin T. Reese, Joel Saltz, Robert A. Schuff, Anthony E. Solomonides, Julian Solway, Heidi Spratt, Gary S. Stein, Anupam A. Sule, Umit Topaloglu, George D. Vavougios, Liwei Wang, Melissa A. Haendel, Peter N. Robinson

EBIOMEDICINE (2021)

Article Genetics & Heredity

Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology

Ferdinand Dhombres, Patricia Morgan, Bimal P. Chaudhari, Isabel Filges, Teresa N. Sparks, Pablo Lapunzina, Tony Roscioli, Umber Agarwal, Shagun Aggarwal, Claire Beneteau, Pilar Cacheiro, Leigh C. Carmody, Sophie Collardeau-Frachon, Esther A. Dempsey, Andreas Dufke, Michael Henri Duyzend, Mirna el Ghosh, Jessica L. Giordano, Ragnhild Glad, Ieva Grinfelde, Dominic G. Iliescu, Markus S. Ladewig, Monica C. Munoz-Torres, Marzia Pollazzon, Francesca Clementina Radio, Carlota Rodo, Raquel Gouveia Silva, Damian Smedley, Jagadish Chandrabose Sundaramurthi, Sabrina Toro, Irene Valenzuela, Nicole A. Vasilevsky, Ronald J. Wapner, Roni Zemet, Melissa A. Haendel, Peter N. Robinson

Summary: Technological advances in genome sequencing and prenatal imaging have improved our ability to recognize and diagnose Mendelian conditions prenatally. The Human Phenotype Ontology (HPO) has expanded its representation of prenatal phenotypes, supporting precision genetic diagnostics and prenatal care.

AMERICAN JOURNAL OF MEDICAL GENETICS PART C-SEMINARS IN MEDICAL GENETICS (2022)

Correction Genetics & Heredity

Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC) (vol 24, pg 986, 2022)

Peter Horak, Malachi Griffith, Arpad M. Danos, Beth A. Pitel, Subha Madhavan, Xuelu Liu, Cynthia Chow, Heather Williams, Leigh Carmody, Lisa Barrow-Laing, Damian Rieke, Simon Kreutzfeldt, Albrecht Stenzinger, David Tamborero, Manuela Benary, Padma Sheila Rajagopal, Cristiane M. Ida, Harry Lesmana, Laveniya Satgunaseelan, Jason D. Merker, Michael Y. Tolstorukov, Paulo Vidal Campregher, Jeremy L. Warner, Shruti Rao, Maya Natesan, Haolin Shen, Jeffrey Venstrom, Somak Roy, Kayoko Tao, Rashmi Kanagal-Shamanna, Xinjie Xu, Deborah I. Ritter, Kym Pagel, Kilannin Krysiak, Adrian Dubuc, Yassmine M. Akkari, Xuan Shirley Li, Jennifer Lee, Ian King, Gordana Raca, Alex H. Wagner, Marylin M. Li, Sharon E. Plon, Shashikant Kulkarni, Obi L. Griffith, Debyani Chakravarty, Dmitriy Sonkin

GENETICS IN MEDICINE (2022)

Article Multidisciplinary Sciences

Phenopacket-tools: Building and validating GA4GH Phenopackets

Daniel Danis, Julius O. B. Jacobsen, Alex H. Wagner, Tudor Groza, Martha A. Beckwith, Lauren Rekerle, Leigh C. Carmody, Justin Reese, Harshad Hegde, Markus S. Ladewig, Berthold Seitz, Monica Munoz-Torres, Nomi L. Harris, Jordi Rambla, Michael Baudis, Christopher J. Mungall, Melissa A. Haendel, Peter N. Robinson

Summary: The Global Alliance for Genomics and Health is developing standards for sharing disease and phenotype information. The Phenopacket Schema is a flexible standard that can represent clinical data for various types of human diseases. It allows for additional constraints to ensure uniform data collection for specific goals.

PLOS ONE (2023)

Article Medicine, Research & Experimental

Endothelial transcriptomic analysis identifies biomarkers of severe and cerebral malaria

Claudia Gomes, Rosauro Varo, Miquel Duran-Frigola, Antonio Sitoe, Rubio Bila, Sonia Machevo, Alfredo Mayor, Quique Bassat, Ana Rodriguez

Summary: Malaria can progress from an uncomplicated infection to a life-threatening severe disease. Early symptoms are often nonspecific, making it difficult to identify patients at high risk. By analyzing the transcriptomic response of human brain microvascular endothelial cells to Plasmodium falciparum-infected erythrocytes, several biomarkers have been identified to distinguish uncomplicated from severe malaria, as well as to differentiate children with cerebral malaria within the severe malaria group.

JCI INSIGHT (2023)

Article Biochemical Research Methods

An expectation-maximization framework for comprehensive prediction of isoform-specific functions

Guy Karlebach, Leigh Carmody, Jagadish Chandrabose Sundaramurthi, Elena Casiraghi, Peter Hansen, Justin Reese, Christopher J. Mungall, Giorgio Valentini, Peter N. Robinson

Summary: This article proposes a method called isoform interpretation to infer isoform-specific functions using expectation-maximization. It predicts specific functional annotations for 85,617 isoforms of 17,900 protein-coding genes and outperforms other methods in comparison to manually annotated results.

BIOINFORMATICS (2023)

Article Genetics & Heredity

Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer

Vida Ravanmehr, Hannah Blau, Luca Cappelletti, Tommaso Fontana, Leigh Carmody, Ben Coleman, Joshy George, Justin Reese, Marcin Joachimiak, Giovanni Bocci, Peter Hansen, Carol Bult, Jens Rueter, Elena Casiraghi, Giorgio Valentini, Christopher Mungall, Tudor Oprea, Peter N. Robinson

Summary: The research presents an approach based on natural language processing and machine learning to investigate the relations between protein kinases (PKs) and cancers, predicting the efficacy of inhibiting certain PKs to treat specific cancers. Results show that associations between PKs and specific cancers can be accurately predicted in advance, supporting the design of clinical trials for cancer therapy.

NAR GENOMICS AND BIOINFORMATICS (2021)

Article Chemistry, Medicinal

Design and synthesis of a library of C2-substituted sulfamidoadenosines to probe bacterial permeability

Shibin Zhao, Julian Maceren, Mia Chung, Samantha Stone, Raphael Geiben, Melissa L. Boby, Bradley S. Sherborne, Derek S. Tan

Summary: Antibiotic resistance is a major threat to public health, with Gram-negative bacteria presenting unique challenges due to their low permeability and efflux pumps. Limited understanding of the chemical rules for overcoming these barriers hinders antibacterial drug discovery. Efforts to address this issue, such as screening compound libraries and using cheminformatic analysis, have led to the design of sulfamidoadenosines with diverse substituents, showing potential utility in accumulation in Escherichia coli.

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS (2024)

Article Chemistry, Medicinal

Design of MERS-CoV entry inhibitory short peptides based on helix-stabilizing strategies

Jichun Li, Qing Li, Shuai Xia, Jiahuang Tu, Longbo Zheng, Qian Wang, Shibo Jiang, Chao Wang

Summary: This study successfully developed a short peptide mimetic as a MERS-CoV fusion inhibitor by reproducing the key recognition features of the HR2 helix. The resulting 23-mer lipopeptide showed comparable inhibitory effect to the 36-mer HR2 peptide HR2P-M2. This has important implications for developing short peptide-based antiviral agents to treat MERS-CoV infection.

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS (2024)

Article Chemistry, Medicinal

Development of novel β2-adrenergic receptor agonists for the stimulation of glucose uptake - The importance of chirality and ring size of cyclic amines

Krista Jaunsleine, Linda Supe, Jana Spura, Sten van Beek, Anna Sandstrom, Jessica Olsen, Carina Halleskog, Tore Bengtsson, Ilga Mutule, Benjamin Pelcman

Summary: Beta(2)-adrenergic receptor agonists can stimulate glucose uptake by skeletal muscle cells and are therefore potential treatments for type 2 diabetes. The chirality of compounds has a significant impact on the activity of these agonists. This study found that certain synthesized compounds showed higher glucose uptake activity. These findings provide important information for the design of novel beta(2)AR agonists for T2D treatment.

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS (2024)

Article Chemistry, Medicinal

Conformationally constrained potent inhibitors for enhancer of zeste homolog 2 (EZH2)

Xin Xu, Jia Chen, Guan Wang, Xiaojuan Zhang, Qiang Li, Xiaobo Zhou, Fengying Guo, Min Li

Summary: The study focuses on EZH2, a promising therapeutic target for various types of cancers. Researchers designed and synthesized a series of novel derivatives aiming to enhance the EZH2 inhibition activity. Among them, compound 28 displayed potent EZH2 inhibition activity and showed high anti-proliferative effects in lymphoma cell lines and xenograft mouse models. The study suggests that compound 28 has potential as a therapeutic candidate for EZH2-associated cancers.

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS (2024)

Article Chemistry, Medicinal

The potential of Rhein's aromatic amines for Parkinson's disease prevention and treatment: α-Synuclein aggregation inhibition and disaggregation of preformed fibers

Wei Zhang, Wei Liu, Ya-Dong Zhao, Li-Zi Xing, Ji Xu, Rui-Jun Li, Yun-Xiao Zhang

Summary: This study developed a series of aromatic amide derivatives based on Rhein and investigated their inhibitory activity against alpha-Syn aggregation. Two of these compounds showed promising potential in treating Parkinson's disease by stabilizing alpha-Syn's conformation and disassembling alpha-Syn oligomers and fibrils.

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS (2024)

Article Chemistry, Medicinal

Design, synthesis and biological evaluation of novel cationic liposomes loaded with melphalan for the treatment of cancer

Mani Sharma, S. S. S. S. Sudha Ambadipudi, Neeraj Kumar Chouhan, V. Lakshma Nayak, Srihari Pabbaraja, Sai Balaji Andugulapati, Ramakrishna Sistla

Summary: Therapeutically active lipids in drug delivery systems can enhance the safety and efficacy of treatment. The liposome formulation created using synthesized biologically active lipids showed additive anti-cancer effects and reduced tumorigenic potential.

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS (2024)