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

Improving the antimicrobial activity of RP9 peptide through theoretical and experimental investigation

通过理论和实验研究提高RP9肽的抗菌活性

Anahid, Mahya; Mahnam, Karim; Saffar, Behnaz

Albumin conjugated with WQPDTAHHWATL and GRFLTGGTGRLLRIS peptide improves targeted docetaxel delivery for prostate cancer: an in-silico approach

白蛋白与 WQPDTAHHWATL 和 GRFLTGGTGRLLRIS 肽偶联可改善前列腺癌靶向多西他赛递送:一种计算机模拟方法

Mahnam, Karim; Karami, Zeinab; Najafabadi, Yaser Salehi

Propylthiouracil-Induced Vasculitis in Relapsed Graves' Disease With Recent Iodine Exposure: A Therapeutic Dilemma

近期碘暴露复发性格雷夫斯病患者中丙基硫氧嘧啶诱发的血管炎:治疗难题

Butt, Sarmad; Majeed, M S; Ali, Iftikhar; Sattar, Mahnam; Jawed, Umar

Designing a multi-epitope influenza vaccine: an immunoinformatics approach

设计多表位流感疫苗:一种免疫信息学方法

Momajadi, Leila; Khanahmad, Hossein; Mahnam, Karim

A new route to the synthesis of 2-hydrazolyl-4-thiazolidinone hybrids, evaluation of α-glucosidase inhibitory activity and molecular modeling insights

2-肼唑-4-噻唑烷酮杂化物的合成新途径、α-葡萄糖苷酶抑制活性评估和分子建模见解

Saghi Sepehri, Ghazaleh Farhadi, Maryam Maghbul, Farough Nasiri, Mohammad Ali Faramarzi, Karim Mahnam, Somayeh Mojtabavi, Mohammad Mahdavi, Zhaleh Moharrami Oranj

Evolutionary trajectories of beta-lactamase NDM and DLST cluster in Pseudomonas aeruginosa: finding the putative ancestor

铜绿假单胞菌中β-内酰胺酶NDM和DLST簇的进化轨迹:寻找假定的祖先

Sadeghi, Parisa; Mahnam, Karim; Salari-Jazi, Azhar; Aspatwar, Ashok; Faghri, Jamshid

In-silico study MM/GBSA binding free energy and molecular dynamics simulation of some designed remdesivir derivatives as the inhibitory potential of SARS-CoV-2 main protease

利用计算机模拟方法,通过 MM/GBSA 结合自由能和分子动力学模拟,研究了部分瑞德西韦衍生物对 SARS-CoV-2 主蛋白酶的抑制潜力。

Abbasi, Maryam; Mansourian, Mahboubeh; Oskouie, Afsaneh Arefi; Taheri, Salman; Mahnam, Karim

Preparing a database of corrected protein structures important in cell signaling pathways

建立细胞信号通路中重要蛋白质结构的校正数据库

Hatami, Samaneh; Sirous, Hajar; Mahnam, Karim; Najafipour, Aylar; Fassihi, Afshin

A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients

一种基于可靠性的新型回归模型,用于分析和预测新冠肺炎患者的病情严重程度

Bakhtiarvand, Negar; Khashei, Mehdi; Mahnam, Mehdi; Hajiahmadi, Somayeh

Exploring textile-based electrode materials for electromyography smart garments

探索用于肌电图智能服装的纺织基电极材料

Lam, Emily; Alizadeh-Meghrazi, Milad; Schlums, Alessandra; Eskandarian, Ladan; Mahnam, Amin; Moineau, Bastien; Popovic, Milos R