23 papers · ranked by Valyu relevance
Juan Francisco Sánchez-Tejeda, Juan F. Sánchez-Ruiz, Juan Rodrigo Salazar, Marco A. Loza-Mejía
'Juan Rodrigo Salazar' 'Marco A. Loza-Mejía'] The design of multitarget drugs is an essential area of research in Medicinal Chemistry since they have been proposed as potential therapeutics for the management of complex diseases. However, defining a multitarget drug is not an easy task. In this work, we propose a…
Cong-Thanh Do, Tran Thien Dat Nguyen, Weifeng Liu
In multitarget tracking, knowledge of the backgrounds plays a crucial role in the accuracy of the tracker. Clutter and detection probability are the two essential background parameters which are usually assumed to be known constants although they are, in fact, unknown and time varying. Incorrect values of these…
Ronald Mahler
The finite-set statistics (FISST) foundational approach to multitarget tracking and information fusion has inspired work by dozens of research groups in at least 20 nations; and FISST publications have been cited tens of thousands of times. This review paper addresses a recent and cutting-edge aspect of this research…
William Mangione, Zackary Falls, Gaurav Chopra, Ram Samudrala
Elucidating drug-protein interactions is essential for understanding the beneficial effects of small molecule therapeutics in human disease states. Common drug discovery methods focus on optimizing the efficacy of a drug against a single biological target of interest. However, evidence supports the multitarget theory…
Tianli Ma, Song Gao, Chaobo Chen, Xiaoru Song
To deal with the problem of multitarget tracking with measurement origin uncertainty, the paper presents a multitarget tracking algorithm based on Adaptive Network Graph Segmentation (ANGS). The multitarget tracking is firstly formulated as an Integer Programming problem for finding the maximum a posterior probability…
Yiyue Gao, Defu Jiang, Chao Zhang, Su Guo + 1 more
In this study, an explicit track continuity algorithm is proposed for multitarget tracking (MTT) based on the Gaussian mixture (GM) implementation of the probability hypothesis density (PHD) filter. Trajectory maintenance and multitarget state extraction in the GM-PHD filter have not been effectively integrated to…
Ina Poehner, Antonio Quotadamo, Joanna Panecka-Hofman, Rosaria Luciani + 16 more
The optimization of compounds with multiple targets is a difficult multidimensional problem in the drug discovery cycle. Here, we present a systematic, multidisciplinary approach to the development of selective anti-parasitic compounds. Computational fragment-based design of novel pteridine derivatives along with…
Ina Poehner, Antonio Quotadamo, Joanna Panecka-Hofman, Rosaria Luciani + 16 more
The optimization of compounds with multiple targets is a difficult multidimensional problem in the drug discovery cycle. Here, we present a systematic, multidisciplinary approach to the development of selective anti-parasitic compounds. Computational fragment-based design of novel pteridine derivatives along with…
Authors not listed
Alzheimer’s disease (AD) is a neurodegenerative disorder associated with the accumulation of beta-amyloid plaques, oxidative stress, and a decrease in cholinergic activity among other pathologies. Given the limitations of current treatments, multitarget strategies present a promising alternative. This study prioritized…
Ronald Mahler
As an engineering discipline, multitarget tracking dates back to the seminal paper by Reid [1] and earlier—see [2] for an overview. The last 20 years of multitarget tracking research have differed from the 20 years preceding them in that there has been an increasing emphasis on theoretically rigorous statistical…
Saveena Solanki, Sanjay Kumar Mohanty, Shiva Satija, Sonam Chauhan + 16 more
The rational design of multi-targeting compounds and targeted protein degraders, such as PROTACs, remains a significant challenge in drug discovery. Here, we introduce SynGlue, a modular generative AI platform that integrates fragment-based reasoning with data-driven and structure-guided approaches to design…
Junren Shi, Yingjie Tang, Jun Gao, Changhao Piao + 2 more
'Wei Yi'] Multitarget tracking based on multisensor fusion perception is one of the key technologies to realize the intelligent driving of automobiles and has become a research hotspot in the field of intelligent driving. However, most current autonomous-vehicle target-tracking methods based on the fusion of…
Authors not listed
Integrating machine learning (ML) into drug discovery has ushered in a new era of innovation, dramatically enhancing the efficiency and precision of identifying and developing new therapeutics. This review provides a comprehensive analysis of the current applications of machine learning in drug discovery, focusing on…
Yu Wei, Wei Li, Tengfei Du, Zhangyong Hong + 1 more
Co-infection between HIV-1 and HCV is common today in certain populations. However, treatment of co-infection is full of challenges with special consideration for potential hepatic safety and drug-drug interactions. Multitarget inhibitors with less toxicity may provide a promising therapeutic strategy for HIV/HCV…
Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Aikaterini Vrekou, Ioannis Vlahavas
'Aikaterini Vrekou' 'Ioannis Vlahavas'] Abstract. Multi-target regression is concerned with the simultaneous prediction of multiple continuous target variables based on the same set of input variables. It arises in several interesting industrial and environmental application domains, such as ecological modelling and…
Nikolaos Mougios, Elena R. Cotroneo, Nils Imse, Jonas Setzke + 4 more
Fluorescence microscopy has long been a transformative technique in biological sciences. Nevertheless, most implementations are limited to a few targets, revealed using primary antibodies (1.Abs) and fluorescently conjugated secondary antibodies. Super-resolution techniques such as Exchange-PAINT and, more recently…
Yuxuan Xia, Lennart Svensson, Ángel F. García‐Fernández, Karl Granström + 1 more
'Karl Granström' 'Jason Williams'] Abstract—This paper presents a solution for recovering full trajectory information, via the calculation of the posterior of the set of trajectories, from a sequence of multitarget (unlabelled) filtering densities and the multitarget dynamic model. Importantly, the proposed solution…
Matthew L. Hudson, Ram Samudrala
Drug repurposing, the practice of utilizing existing drugs for novel clinical indications, has tremendous potential for improving human health outcomes and increasing therapeutic development efficiency. The goal of multidisease multitarget drug repurposing, also known as shotgun drug repurposing, is to develop…
Ronald Mahler
—Multi-hypothesis trackers (MHT's), which are based on the measurement-to-track association (MTA) concept, have long been asserted to be "Bayes-optimal." Recently, rather bolder claims have come to the fore: "The right model of the multitarget state is that used in the multi-hypothesis tracker (MHT) paradigm, not the…
Lin Gao, Giorgio Battistelli, Luigi Chisci, Ping Wei
This paper addresses distributed registration of a sensor network for multitarget tracking. Each sensor gets measurements of the target position in a local coordinate frame, having no knowledge about the relative positions (referred to as drift parameters) and azimuths (referred to as orientation parameters) of its…
Ian R. Outhwaite, Sukrit Singh, Benedict-Tilman Berger, Stefan Knapp + 2 more
Kinase inhibitors are successful therapeutics in the treatment of cancers and autoimmune diseases and are useful tools in biomedical research. The high sequence and structural conservation of the catalytic kinase domain complicates the development of specific kinase inhibitors. As a consequence, most kinase inhibitors…
Roy L. Streit, Christoph Degen, Wolfgang Koch
—The family of pointillist multitarget tracking filters is defined to be the class of filters that is characterized by a joint target-measurement finite point process. The probability generating functional (PGFL) of the joint process is derived directly from the probabilistic structure of the tracking problem. PGFLs…
Jessica Valero-Rojas, Camilo Ramírez, Laura Pacheco-Paternina, Paulina Valenzuela-Hormazabal + 5 more
Alzheimer’s disease (AD), a prevalent neurodegenerative disorder, presents significant challenges in drug development due to its multifactorial nature. The AlzyFinder Platform presented here addresses this by providing a comprehensive, free web-based tool for ligand-based virtual screening and network pharmacology…