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概览

疾病领域	数量

内分泌与代谢疾病	6
神经系统疾病	6

排名前五的药物类型	数量

小分子化药	6

排名前五的靶点	数量

Akt x NF-κB x PI3K family x TLR4	6

关联

6

项与 GLA University 相关的药物

Nomilin

靶点

Akt x NF-κB x PI3K family x TLR4

作用机制

Akt 刺激剂 [+3]

在研机构

GLA University

原研机构-

在研适应症

阿尔茨海默症 [+1]

非在研适应症-

最高研发阶段临床前

首次获批国家/地区-

首次获批日期-

Fraxinellone

靶点

Akt x NF-κB x PI3K family x TLR4

作用机制

Akt 刺激剂 [+3]

在研机构

GLA University

原研机构-

在研适应症

阿尔茨海默症 [+1]

非在研适应症-

最高研发阶段临床前

首次获批国家/地区-

首次获批日期-

Geduin

靶点

Akt x NF-κB x PI3K family x TLR4

作用机制

Akt 刺激剂 [+3]

在研机构

GLA University

原研机构-

在研适应症

阿尔茨海默症 [+1]

非在研适应症-

最高研发阶段临床前

首次获批国家/地区-

首次获批日期-

100 项与 GLA University 相关的临床结果

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0 项与 GLA University 相关的专利（医药）

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5,016

项与 GLA University 相关的文献（医药）

2025-03-01·Recent Patents on Biotechnology

Role of Artificial Intelligence in Drug Discovery to Revolutionize the Pharmaceutical Industry: Resources, Methods and Applications

作者: Singh, Pranjal Kumar ; Sachan, Kapil ; Khandelwal, Vishal ; Singh, Sumita ; Singh, Smita

Abstract:Traditional drug discovery methods such as wet-lab testing, validations, and synthetic techniques are time-consuming and expensive. Artificial Intelligence (AI) approaches have progressed to the point where they can have a significant impact on the drug discovery process. Using massive volumes of open data, artificial intelligence methods are revolutionizing the pharmaceutical industry. In the last few decades, many AI-based models have been developed and implemented in many areas of the drug development process. These models have been used as a supplement to conventional research to uncover superior pharmaceuticals expeditiously. AI's involvement in the pharmaceutical industry was used mostly for reverse engineering of existing patents and the invention of new synthesis pathways. Drug research and development to repurposing and productivity benefits in the pharmaceutical business through clinical trials. AI is studied in this article for its numerous potential uses. We have discussed how AI can be put to use in the pharmaceutical sector, specifically for predicting a drug's toxicity, bioactivity, and physicochemical characteristics, among other things. In this review article, we have discussed its application to a variety of problems, including de novo drug discovery, target structure prediction, interaction prediction, and binding affinity prediction. AI for predicting drug interactions and nanomedicines were also considered.

2025-02-01·Nano LIFE

A Quick, High-Yield Biogenic Synthesis of Antibacterial AgNPs (Silver Nanoparticles) via Carica papaya Seeds

作者: Bharadwaj, Alok ; Singh, Anshu ; Singh, Vishwajeet ; Gaur, Ridhima ; Wahi, Nitin ; Agarwal, Smita

Carica papaya seeds were used in this research for the synthesis of AgNPs. The production of silver nanoparticles was characterized using UV–Vis spectroscopy, FTIR, XRD and SEM-EDX analysis. The antibacterial activity of the prepared AgNPs was evaluated by the Kirby–Bauer disc diffusion method with the antibacterial activity of different compounds against Bacillus aerogenes. UV–Vis spectral peaks are found at 8–18 nm. SEM and TEM analysis revealed several spherical structures between 10 nm and 50 nm. XRD analysis also confirmed its 50 nm size. Experimental data revealed that AgNPs inhibited bacterial growth. This study shows that papaya seed extract contributes to the bioreduction and stabilization of the synthesized silver nanoparticles.

2025-02-01·Current Gene Therapy

Advancements in CRISPR-Based Therapies for Genetic Modulation in Neurodegenerative Disorders

Review

作者: Bhardwaj, Anjali ; Kumar, Shivendra ; Bhushan, Bharat ; Singh, Kuldeep

:Neurodegenerative disorders pose significant challenges in the realm of healthcare, as these conditions manifest in complex, multifaceted ways, often attributed to genetic anomalies. With the emergence of CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) technology, a new frontier has been unveiled in the quest for targeted, precise genetic manipulation. This abstract explores the recent advancements and potential applications of CRISPR-based therapies in addressing genetic components contributing to various neurodegenerative disorders. The review delves into the foundational principles of CRISPR technology, highlighting its unparalleled ability to edit genetic sequences with unprecedented precision. In addition, it talks about the latest progress in using CRISPR to target specific genetic mutations linked to neurodegenerative diseases like Huntington's disease, Alzheimer's disease, amyotrophic lateral sclerosis (ALS), and Parkinson's disease. It talks about the most important studies and trials that show how well and safely CRISPR-based therapies work. This shows how this technology can change genetic variants that cause diseases. Notably, the discussion emphasizes the challenges and ethical considerations associated with the implementation of CRISPR in clinical settings, including off-target effects, delivery methods, and long-term implications. Furthermore, the article explores the prospects and potential hurdles in the widespread application of CRISPR technology for treating neurodegenerative disorders. It touches upon the need for continued research, improved delivery mechanisms, and ethical frameworks to ensure responsible and equitable access to these groundbreaking therapies.

100 项与 GLA University 相关的药物交易

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100 项与 GLA University 相关的转化医学

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2024年11月17日管线快照

管线布局中药物为当前组织机构及其子机构作为药物机构进行统计，早期临床1期并入临床1期，临床1/2期并入临床2期，临床2/3期并入临床3期

临床前

6

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当前项目

药物(靶点)	适应症	全球最高研发状态

Nomilin ( Akt x NF-κB x PI3K family x TLR4 )	帕金森病更多	临床前
Geduin ( Akt x NF-κB x PI3K family x TLR4 )	阿尔茨海默症更多	临床前
Epi-limonol ( Akt x NF-κB x PI3K family x TLR4 )	帕金森病更多	临床前
Fraxinellone ( Akt x NF-κB x PI3K family x TLR4 )	阿尔茨海默症更多	临床前
V-A-4 ( Akt x NF-κB x PI3K family x TLR4 )	阿尔茨海默症更多	临床前