清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Molecular Docking, Dynamics, and WaterSwap Analysis to Identify Anti-aggregating Agents of Insulin and IFN-β

胰岛素 氨基酸 苯丙氨酸 分子动力学 化学 对接(动物) 生物化学 组合化学 计算生物学
作者
Priyanka Sharma,Baddipadige Raju,Gera Narendra,Bharti Sapra,Om Silakari
出处
期刊:Applied Biochemistry and Biotechnology [Springer Nature]
标识
DOI:10.1007/s12010-022-03881-0
摘要

There are several challenges in the development, and formulation of biologics, particularly concerning their physical stabilities. The self-assembly of peptides like human insulin and interferon beta (IFN-β) has potential to form aggregates in pharmaceutical formulation. Therefore, it is a significant problem in the manufacturing, storage, and delivery of insulin and IFN-β formulations. Amino acids as aggregation suppressing additives have been used to stabilize proteins during manufacturing and storage. Several changes to the B chain's C-terminus have been proposed in an attempt to improve insulin formulation. The core segments of the A and B chains (SLYQLENY and LVEALYLV) have recently been identified as sheet-forming areas, and their microcrystalline structures have been exploited to construct a high-resolution insulin amyloid fibril model. Here, we have chosen twenty-one amino acids to develop as additives in rendering the insulin and IFN-β aggregations. Thereafter, integrated molecular docking studies of single layer monomers of full-length insulin and IFN-β have been performed to identify structural elements (amino acids) that can act as disaggregating agents. The stability of the best-docked amino acid complexes was judged using molecular dynamics studies. Finally, phenylalanine was identified as a disaggregation agent for insulin, and lysine, tyrosine, phenylalanine, and tryptophan were identified as disaggregation agents for IFN-β from the molecular dynamics study. These findings may open a novel proposal to explore further in vitro studies to increase the stability of the insulin and IFN-β formulation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
忘忧Aquarius完成签到,获得积分10
1秒前
小西完成签到 ,获得积分10
7秒前
XHH完成签到 ,获得积分0
10秒前
天边的云彩完成签到 ,获得积分10
17秒前
烂漫的蜡烛完成签到 ,获得积分10
26秒前
28秒前
大方的笑萍完成签到 ,获得积分10
30秒前
picapica668发布了新的文献求助30
31秒前
picapica668完成签到,获得积分10
37秒前
Sophie完成签到 ,获得积分10
39秒前
1分钟前
zh完成签到 ,获得积分10
1分钟前
1分钟前
caipei发布了新的文献求助10
1分钟前
传奇3应助程翠丝采纳,获得20
1分钟前
1分钟前
程翠丝发布了新的文献求助20
1分钟前
creep2020完成签到,获得积分10
1分钟前
斯文败类应助baobeikk采纳,获得10
1分钟前
Andy_2024应助科研通管家采纳,获得30
1分钟前
1分钟前
1分钟前
星火发布了新的文献求助10
1分钟前
baobeikk发布了新的文献求助10
1分钟前
1分钟前
无名完成签到 ,获得积分10
2分钟前
天天快乐应助星火采纳,获得10
2分钟前
小强完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
汉堡包应助baobeikk采纳,获得10
2分钟前
2分钟前
suiwuya完成签到,获得积分10
2分钟前
baobeikk发布了新的文献求助10
2分钟前
朗月发布了新的文献求助30
2分钟前
万能图书馆应助baobeikk采纳,获得10
2分钟前
2分钟前
baobeikk发布了新的文献求助10
2分钟前
3分钟前
川藏客完成签到 ,获得积分10
3分钟前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Neuromuscular and Electrodiagnostic Medicine Board Review 700
지식생태학: 생태학, 죽은 지식을 깨우다 600
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3466837
求助须知:如何正确求助?哪些是违规求助? 3059674
关于积分的说明 9067352
捐赠科研通 2750142
什么是DOI,文献DOI怎么找? 1509065
科研通“疑难数据库(出版商)”最低求助积分说明 697124
邀请新用户注册赠送积分活动 696913