The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges

Molecular Therapy — Nucleic Acids, Год журнала: 2024, Номер 35(3), С. 102295 - 102295

Опубликована: Авг. 8, 2024

Due to the transformation of artificial intelligence (AI) tools and technologies, AI-driven drug discovery has come forefront. It reduces time expenditure. these advantages, pharmaceutical industries are concentrating on discovery. Several molecules have been discovered using AI-based techniques tools, several newly AI-discovered already entered clinical trials. In this review, we first present data their resources in sector for illustrated some significant algorithms or used AI ML which field. We gave an overview deep neural network (NN) models compared them with NNs. Then, illustrate recent advancement landscape learning, such as identification targets, prediction structure, estimation drug-target interaction, binding affinity, design

Язык: Английский

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Enhancing perinatal health patient information through ChatGPT – An accuracy study

PEC Innovation, Год журнала: 2025, Номер 6, С. 100381 - 100381

Опубликована: Фев. 11, 2025

To evaluate ChatGPT's accuracy as information source for women and maternity-care workers on "nutrition" "red flags" in pregnancy. Accuracy of ChatGPT-generated recommendations was assessed by a 5-point Likert scale eight raters ten indicators per topic four languages (French, English, German Dutch). interrater agreement were calculated language. For both topics, median scores excellent (5.0; IQR 4-5) independently Median varied with maximum 1 Likert-scare according to question's framing. Overall 83-89 % 'nutrition pregnancy' versus 96-98 'red flags pregnancy'. Inter-rater good topics. Although ChatGPT generated accurate regarding the tested nutrition red during pregnancy, should be aware limitations such inconsistencies formulation, language woman's personal context. Despite growing interest potential use artificial intelligence healthcare, this is, best our knowledge, first study assessing that may impact question-framing key domains perinatal health.

Язык: Английский

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Ai-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development

Journal of Advanced Research, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

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Prompt-engineering enabled LLM or MLLM and instigative bioinformatics pave the way to identify and characterize the significant SARS-CoV-2 antibody escape mutations

International Journal of Biological Macromolecules, Год журнала: 2024, Номер unknown, С. 138547 - 138547

Опубликована: Дек. 1, 2024

Язык: Английский

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