LAUSR

Use of Lhasa Limited Products for the In Silico Prediction of Drug Toxicity.

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2 Published in 2022 at "Methods in molecular biology"

DOI: 10.1007/978-1-0716-1960-5_17

Abstract: Lhasa Limited have had a role in the in silico prediction of drug and other chemical toxicity for over 30 years. This role has always been multifaceted, both as a provider of predictive software such as… read more here.

Keywords: toxicity; silico prediction; prediction drug; lhasa limited ... See more keywords

Computational Prediction of Drug-Target Interactions via Ensemble Learning.

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0 Published in 2019 at "Methods in molecular biology"

DOI: 10.1007/978-1-4939-8955-3_14

Abstract: Therapeutic effects of drugs are mediated via interactions between them and their intended targets. As such, prediction of drug-target interactions is of great importance. Drug-target interaction prediction is especially relevant in the case of drug… read more here.

Keywords: drug; prediction drug; drug target; target interactions ... See more keywords

Prediction of drug dissolution from Toremifene 80 mg tablets using NIR spectroscopy.

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1 Published in 2020 at "International journal of pharmaceutics"

DOI: 10.1016/j.ijpharm.2020.119028

Abstract: The aim of our study was to justify substitution of dissolution analysis for NIR measurement of Toremifene 80 mg tablets. We studied implementation of a NIRS method by integrating the method development to discrimination power… read more here.

Keywords: prediction drug; dissolution; toremifene tablets; spectroscopy ... See more keywords

Prediction of Drug Loading in the Gelatin Matrix Using Computational Methods

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1 Published in 2020 at "ACS Omega"

DOI: 10.1021/acsomega.9b03487

Abstract: The delivery of drugs is a topic of intense research activity in both academia and industry with potential for positive economic, health, and societal impacts. The selection of the appropriate formulation (carrier and drug) with… read more here.

Keywords: drug loading; loading gelatin; matrix using; drug ... See more keywords

Prediction of drug metabolites using neural machine translation†

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0 Published in 2020 at "Chemical Science"

DOI: 10.1039/d0sc02639e

Abstract: Metabolic processes in the human body can alter the structure of a drug affecting its efficacy and safety. As a result, the investigation of the metabolic fate of a candidate drug is an essential part… read more here.

Keywords: drug metabolites; drug; translation; enzyme families ... See more keywords

Efficient prediction of drug-drug interaction using deep learning models.

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1 Published in 2020 at "IET systems biology"

DOI: 10.1049/iet-syb.2019.0116

Abstract: A drug-drug interaction or drug synergy is extensively utilised for cancer treatment. However, prediction of drug-drug interaction is defined as an ill-posed problem, because manual testing is only implementable on small group of drugs. Predicting… read more here.

Keywords: learning models; drug interaction; drug; prediction drug ... See more keywords

Prediction of drug-induced kidney injury in drug discovery

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0 Published in 2021 at "Drug Metabolism Reviews"

DOI: 10.1080/03602532.2021.1922436

Abstract: Abstract Drug induced kidney injury is one of the leading causes of failure of drug development programs in the clinic. Early prediction of renal toxicity potential of drugs is crucial to the success of drug… read more here.

Keywords: kidney injury; induced kidney; drug induced; drug ... See more keywords

Prediction of Drug-Induced Hyperbilirubinemia by In Vitro Testing

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0 Published in 2020 at "Pharmaceutics"

DOI: 10.3390/pharmaceutics12080755

Abstract: Bilirubin, the end product of heme catabolism, is produced continuously in the body and may reach toxic levels if accumulates in the serum and tissues; therefore, a highly efficient mechanism evolved for its disposition. Normally,… read more here.

Keywords: drug induced; hyperbilirubinemia; hyperbilirubinemia vitro; vitro ... See more keywords