Showing 21 - 40 results of 62 for search '"Drug discovery"', query time: 0.10s Refine Results
  1. 21

    A microscale thermophoresis-based enzymatic RNA methyltransferase assay enables the discovery of DNMT2 inhibitors by Zarina Nidoieva, Mark O. Sabin, Tristan Dewald, Annabelle C. Weldert, Sabrina N. Hoba, Mark Helm, Fabian Barthels

    Published 2025-02-01
    “…Abstract RNA methyltransferases (MTases) have recently become increasingly important in drug discovery. Yet, most frequently utilized RNA MTase assays are limited in their throughput and hamper this rapidly evolving field of medicinal chemistry. …”
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    Distinguishing classes of neuroactive drugs based on computational physicochemical properties and experimental phenotypic profiling in planarians. by Danielle Ireland, Christina Rabeler, Sagar Rao, Rudy J Richardson, Eva-Maria S Collins

    Published 2025-01-01
    “…Organismal behavioral testing is needed to fill the gap, but mammalian studies are too time-consuming and cost-prohibitive for the early stages of drug discovery. Behavioral medium-throughput screening (MTS) in small organisms promises to address this need and complement in silico and in vitro HTS to improve the discovery of novel neuroactive compounds. …”
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    Advancing Alzheimer's Therapy: Computational strategies and treatment innovations by Jibon Kumar Paul, Abbeha Malik, Mahir Azmal, Tooba Gulzar, Muhammad Talal Rahim Afghan, Omar Faruk Talukder, Samar Shahzadi, Ajit Ghosh

    Published 2025-06-01
    “…A comprehensive analysis of recent literature was conducted to elucidate the broad scope of Alzheimer's etiology and the limitations of conventional drug discovery approaches. Our findings underscore the critical role of computational models in elucidating disease mechanisms, identifying therapeutic targets, and expediting drug discovery. …”
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  8. 28

    Wilson and Walker's Principles and Techniques of Biochemistry and Molecular Biology /

    Published 2018
    Table of Contents: “…Biochemical and molecular biological methods in life sciences studies -- Basic principles -- Cell culture techniques -- Recombinant DNA techniques and molecular cloning -- Preparative protein biochemistry -- Electrophoretic techniques -- Immunochemical techniques -- Flow cytometry -- Radioisotope techniques -- Principles of clinical biochemistry -- Microscopy -- Centrifugation and ultracentrifugation -- Spectroscopic techniques -- Basic techniques probing molecular structure and interactions -- Mass spectrometric techniques -- Fundamentals of bioinformatics -- Fundamentals of chemoinformatics -- The python programming language -- Data analysis -- Fundamentals of genome sequencing and annotation -- Fundamentals of proteomics -- Fundamentals of metabolomics -- Enzymes and receptors -- Drug discovery and development.…”
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  9. 29
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    Wilson and Walker's Principles and Techniques of Biochemistry and Molecular Biology /

    Published 2018
    Table of Contents: “…Biochemical and molecular biological methods in life sciences studies -- Basic principles -- Cell culture techniques -- Recombinant DNA techniques and molecular cloning -- Preparative protein biochemistry -- Electrophoretic techniques -- Immunochemical techniques -- Flow cytometry -- Radioisotope techniques -- Principles of clinical biochemistry -- Microscopy -- Centrifugation and ultracentrifugation -- Spectroscopic techniques -- Basic techniques probing molecular structure and interactions -- Mass spectrometric techniques -- Fundamentals of bioinformatics -- Fundamentals of chemoinformatics -- The python programming language -- Data analysis -- Fundamentals of genome sequencing and annotation -- Fundamentals of proteomics -- Fundamentals of metabolomics -- Enzymes and receptors -- Drug discovery and development.…”
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    Book
  11. 31

    Chimie des substances naturelles et pharmacie : à la croisée des chemins by Beniddir, Mehdi A., Poupon, Erwan

    Published 2024-04-01
    “…An overview of the importance of natural products in pharmacy and drug discovery is provided herein. This “account” article seeks to shed light on current issues and challenges, through a critical analysis ranging from bioprospecting to the marketing of new drugs.…”
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    Molecular optimization using a conditional transformer for reaction-aware compound exploration with reinforcement learning by Shogo Nakamura, Nobuaki Yasuo, Masakazu Sekijima

    Published 2025-02-01
    “…Abstract Designing molecules with desirable properties is a critical endeavor in drug discovery. Because of recent advances in deep learning, molecular generative models have been developed. …”
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    ISLRWR: A network diffusion algorithm for drug-target interactions prediction. by Lu Sun, Zhixiang Yin, Lin Lu

    Published 2025-01-01
    “…Machine learning techniques and computer-aided methods are now widely used in the pre-discovery tasks of drug discovery, effectively improving the efficiency of drug development and reducing the workload and cost. …”
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  18. 38

    Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

    Published 2024-11-01
    “…By integrating machine learning in multi-omics, we can enhance our understanding of drug discovery, disease, pathway, and network analysis. …”
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  19. 39

    Molecular techniques for cancer diagnostics by Vimal Kishor Singh, Ramesh Chandra

    Published 2024-01-01
    “…Recent advancements in describing genetic alterations in human cancers are a tempting reason for scientists to develop more effective, personalized therapies as the next level of cancer treatment. However, the drug discovery process is tedious, and getting approval from various regulatory authorities may be more frustrating for a steady developmental pace. …”
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  20. 40

    Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

    Published 2025-02-01
    “…Moreover, we evaluated the performance of these NLP-based generation models and another new model architecture based on a selective state space and selected the best approach jointing a transfer learning strategy for de novo drug discovery to target L858R/T790M/C797S-mutant EGFR in non-small cell lung cancer.…”
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