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无规卷曲蛋白的分子对接:挑战与策略。

Molecular Docking of Intrinsically Disordered Proteins: Challenges and Strategies.

机构信息

Applied Phycology and Biotechnology Division, CSIR Central Salt and Marine Chemicals Research Institute, Bhavnagar, Gujarat, India.

Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, India.

出版信息

Methods Mol Biol. 2024;2780:165-201. doi: 10.1007/978-1-0716-3985-6_11.

Abstract

Intrinsically disordered proteins (IDPs) are a novel class of proteins that have established a significant importance and attention within a very short period of time. These proteins are essentially characterized by their inherent structural disorder, encoded mainly by their amino acid sequences. The profound abundance of IDPs and intrinsically disordered regions (IDRs) in the biological world delineates their deep-rooted functionality. IDPs and IDRs convey such extensive functionality through their unique dynamic nature, which enables them to carry out huge number of multifaceted biomolecular interactions and make them "interaction hub" of the cellular systems. Additionally, with such widespread functions, their misfunctioning is also intimately associated with multiple diseases. Thus, understanding the dynamic heterogeneity of various IDPs along with their interactions with respective binding partners is an important field with immense potentials in biomolecular research. In this context, molecular docking-based computational approaches have proven to be remarkable in case of ordered proteins. Molecular docking methods essentially model the biomolecular interactions in both structural and energetic terms and use this information to characterize the putative interactions between the two participant molecules. However, direct applications of the conventional docking methods to study IDPs are largely limited by their structural heterogeneity and demands for unique IDP-centric strategies. Thus, in this chapter, we have presented an overview of current methodologies for successful docking operations involving IDPs and IDRs. These specialized methods majorly include the ensemble-based and fragment-based approaches with their own benefits and limitations. More recently, artificial intelligence and machine learning-assisted approaches are also used to significantly reduce the complexity and computational burden associated with various docking applications. Thus, this chapter aims to provide a comprehensive summary of major challenges and recent advancements of molecular docking approaches in the IDP field for their better utilization and greater applicability.Asp (D).

摘要

无规卷曲蛋白质(IDPs)是一类新型蛋白质,它们在很短的时间内就引起了人们的极大关注。这些蛋白质的主要特征是其结构的固有无序性,主要由其氨基酸序列编码。IDPs 和无规卷曲区域(IDRs)在生物界中大量存在,这表明它们具有根深蒂固的功能。IDPs 和 IDRs 通过其独特的动态特性来传递如此广泛的功能,这使它们能够进行大量的多方面生物分子相互作用,并使它们成为细胞系统的“相互作用中心”。此外,由于具有如此广泛的功能,它们的功能失调也与多种疾病密切相关。因此,了解各种 IDPs 的动态异质性及其与各自结合伴侣的相互作用是生物分子研究中一个具有巨大潜力的重要领域。在这种情况下,基于分子对接的计算方法在有序蛋白质方面已经被证明是非常有效的。分子对接方法从结构和能量两个方面对生物分子相互作用进行建模,并利用这些信息来描述两个参与分子之间的假定相互作用。然而,传统对接方法在直接应用于研究 IDPs 时受到其结构异质性的限制,需要独特的以 IDP 为中心的策略。因此,在这一章中,我们概述了成功对接涉及 IDPs 和 IDRs 的当前方法学。这些专门的方法主要包括基于集合和基于片段的方法,它们各自具有优点和局限性。最近,人工智能和机器学习辅助的方法也被用于显著降低与各种对接应用相关的复杂性和计算负担。因此,本章旨在全面总结分子对接方法在 IDP 领域的主要挑战和最新进展,以更好地利用和扩大其适用性。天冬氨酸(D)。

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