日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Potentials of cepharanthine and tomatidine as novel LpxC and TLR4 inhibitors to mitigate gut-mediated inflammation in Parkinson's disease: a high-throughput investigation through molecular docking and dynamic simulation

头孢兰汀和番茄碱作为新型LpxC和TLR4抑制剂在缓解帕金森病肠道介导炎症中的潜力:基于分子对接和动态模拟的高通量研究

Roy, Rubina; Gahatraj, Indira; Sharma, Anupama; Kumar, Vishal; Paul, Rajib; Kumar, Diwakar; Bhattacharya, Pallab; Borah, Anupom

In silico design and assessment of a multiepitope and multiantigen potential vaccine candidate against Leishmania donovani

利用计算机模拟设计和评估针对杜氏利什曼原虫的多表位和多抗原潜在候选疫苗

Saha, Satabdi; Laskar, Sahina; Gunalan, Seshan; Kothandan, Gugan; Kumar, Diwakar

In silico decoding strategic pathways inhibition by coptisine for halting Alzheimer's pathology: a mechanistic insight

利用计算机模拟解码黄连碱抑制阿尔茨海默病理进程的关键通路:一种机制性见解

Roy, Abhideep; Kumar, Diwakar; Bhattacharya, Pallab; Borah, Anupom

Dataset of air pollutants (PM(2.5), PM(10), CO) concentrations in the export processing area of Dhaka, Bangladesh

孟加拉国达卡出口加工区空气污染物(PM2.5、PM10、CO)浓度数据集

Rahman, Mustafizur; Rashid, Faijunnesa; Kumar, Diwakar; Habib, Md Ahosan; Ullah, Ahmad

Identification of molecular interactions of pesticides with keratinase for their potential to inhibit keratin biodegradation

鉴定农药与角蛋白酶的分子相互作用,以评估其抑制角蛋白生物降解的潜力

Gahatraj, Indira; Roy, Rubina; Sharma, Anupama; Phukan, Banashree Chetia; Kumar, Sanjeev; Kumar, Diwakar; Pandey, Piyush; Bhattacharya, Pallab; Borah, Anupom

Pharmacogenomic landscape of Indian population using whole genomes

利用全基因组分析印度人群的药物基因组学图谱

Sahana, S; Bhoyar, Rahul C; Sivadas, Ambily; Jain, Abhinav; Imran, Mohamed; Rophina, Mercy; Senthivel, Vigneshwar; Kumar Diwakar, Mohit; Sharma, Disha; Mishra, Anushree; Sivasubbu, Sridhar; Scaria, Vinod

Discovering Potential RNA Dependent RNA Polymerase Inhibitors as Prospective Drugs Against COVID-19: An in silico Approach

利用计算机模拟方法发现潜在的RNA依赖性RNA聚合酶抑制剂作为抗COVID-19的潜在药物

Saha, Satabdi; Nandi, Rajat; Vishwakarma, Poonam; Prakash, Amresh; Kumar, Diwakar

"Identification of Nafamostat and VR23 as COVID-19 drug candidates by targeting 3CL(pro) and PL(pro).".

“通过靶向 3CL(pro) 和 PL(pro) 鉴定出 Nafamostat 和 VR23 作为 COVID-19 候选药物”

Bhowmik Deep, Sharma Ravi Datta, Prakash Amresh, Kumar Diwakar

Identification of potential inhibitors against SARS-CoV-2 by targeting proteins responsible for envelope formation and virion assembly using docking based virtual screening, and pharmacokinetics approaches.

利用基于对接的虚拟筛选和药代动力学方法,通过靶向负责包膜形成和病毒颗粒组装的蛋白质,鉴定针对 SARS-CoV-2 的潜在抑制剂

Bhowmik Deep, Nandi Rajat, Jagadeesan Rahul, Kumar Niranjan, Prakash Amresh, Kumar Diwakar

Linking gut microbiota with the human diseases

将肠道菌群与人类疾病联系起来

Vandana, Udaya Kumar; Barlaskar, Naseema Hayat; Gulzar, Abu Barkat Md; Laskar, Islamul Hoque; Kumar, Diwakar; Paul, Prosenjit; Pandey, Piyush; Mazumder, Pranab Behari