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Related papers: Decoding Drug Discovery: Exploring A-to-Z In silic…

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Resumen: El desarrollo de nuevos medicamentos es un problema complejo que carece de una soluci\'on \'unica y autom\'atica desde un punto de vista computacional, debido a la carencia de programas que permitan manejar grandes vol\'umenes de…

Other Quantitative Biology · Quantitative Biology 2010-11-03 Raul Isea

Drug development is an expensive and time-consuming process where thousands of chemical compounds are being tested in order to find those possessing drug-like properties while being safe and effective. One of key parts of the early drug…

Quantitative Methods · Quantitative Biology 2022-02-15 Josip Mesarić

The recognition of the importance of drug-like properties beyond potency to reduce clinical attrition of biologics has driven significant progress in the development of in vitro and in silico tools for developability assessment of antibody…

Biomolecules · Quantitative Biology 2023-05-15 Andreas Evers , Shipra Malhotra , Vanita D. Sood

The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottleneck screening the vast number of potential small molecules…

Drug discovery is the most expensive, time demanding and challenging project in biopharmaceutical companies which aims at the identification and optimization of lead compounds from large-sized chemical libraries. The lead compounds should…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-02 Natarajan Arul Murugan , Artur Podobas , Davide Gadioli , Emanuele Vitali , Gianluca Palermo , Stefano Markidis

Kinase-targeted drug design is challenging. It requires designing inhibitors that can bind to specific kinases when all kinase catalytic domains share a common folding scaffold that binds ATP. Thus, obtaining the desired selectivity, given…

Biomolecules · Quantitative Biology 2021-04-28 Zheng Zhao , Philip E. Bourne

Due to their excellent drug-like and pharmacokinetic properties, small molecule drugs are widely used to treat various diseases, making them a critical component of drug discovery. In recent years, with the rapid development of deep…

Machine Learning · Computer Science 2025-05-15 Kun Li , Yida Xiong , Hongzhi Zhang , Xiantao Cai , Jia Wu , Bo Du , Wenbin Hu

Drug discovery is adapting to novel technologies such as data science, informatics, and artificial intelligence (AI) to accelerate effective treatment development while reducing costs and animal experiments. AI is transforming drug…

Artificial Intelligence · Computer Science 2023-07-14 Catrin Hasselgren , Tudor I. Oprea

PROTACs, as a highly promising new. therapeutic paradigm, have attracted widespread attention from the academic and pharmaceutical communities in recent years. To date, the design and validation of PROTACs molecule's druggability primarily…

Biomolecules · Quantitative Biology 2023-07-11 Mengman Wei

Drug discovery remains a slow and expensive process that involves many steps, from detecting the target structure to obtaining approval from the Food and Drug Administration (FDA), and is often riddled with safety concerns. Accurate…

Quantitative Methods · Quantitative Biology 2025-08-22 Ali Vefghi , Zahed Rahmati , Mohammad Akbari

Clinical trials are an indispensable part of the drug development process, bridging the gap between basic research and clinical application. During the development of new drugs, clinical trials are used not only to evaluate the safety and…

Novel diagnostic and therapeutic radiopharmaceuticals are increasingly becoming a central part of personalized medicine. Continued innovation in the development of new radiopharmaceuticals is key to sustained growth and advancement of…

Biomolecules · Quantitative Biology 2021-08-06 Bahar Ataeinia , Pedram Heidari

In the context of clinical research, computational models have received increasing attention over the past decades. In this systematic review, we aimed to provide an overview of the role of so-called in silico clinical trials (ISCTs) in…

Drug discovery is a complex process that involves sequentially screening and examining a vast array of molecules to identify those with the target properties. This process, also referred to as sequential experimentation, faces challenges…

Artificial Intelligence · Computer Science 2024-05-08 Jinghai He , Cheng Hua , Yingfei Wang , Zeyu Zheng

Repurposing existing drugs to treat new diseases is a cost-effective alternative to de novo drug development, but there are millions of potential drug-disease combinations to be considered with only a small fraction being viable. In silico…

Quantitative Methods · Quantitative Biology 2025-10-24 Austin Polanco , M. E. J. Newman

Artificial intelligence (AI) has been transforming the practice of drug discovery in the past decade. Various AI techniques have been used in a wide range of applications, such as virtual screening and drug design. In this survey, we first…

Machine Learning · Computer Science 2021-11-03 Jianyuan Deng , Zhibo Yang , Iwao Ojima , Dimitris Samaras , Fusheng Wang

With the development of computer-assisted techniques, research communities including biochemistry and deep learning have been devoted into the drug discovery field for over a decade. Various applications of deep learning have drawn great…

Machine Learning · Computer Science 2023-03-07 Wenhao Hu , Yingying Liu , Xuanyu Chen , Wenhao Chai , Hangyue Chen , Hongwei Wang , Gaoang Wang

The term "In Silico Trial" indicates the use of computer modelling and simulation to evaluate the safety and efficacy of a medical product, whether a drug, a medical device, a diagnostic product or an advanced therapy medicinal product.…

Discovering new medicines is the hallmark of human endeavor to live a better and longer life. Yet the pace of discovery has slowed down as we need to venture into more wildly unexplored biomedical space to find one that matches today's high…

Artificial Intelligence · Computer Science 2022-02-16 Tri Minh Nguyen , Thin Nguyen , Truyen Tran

Drug development is a wide scientific field that faces many challenges these days. Among them are extremely high development costs, long development times, as well as a low number of new drugs that are approved each year. To solve these…

Biomolecules · Quantitative Biology 2022-11-08 Christoph Gorgulla
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