Molecular Docking of Intrinsically Disordered Proteins: Challenges and Strategies.

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).

Revealing the key structural features promoting the helical conformation in algal polysaccharide carrageenan in solution.

Carrageenans are industrially important polysaccharides with tunable viscoelastic and gelation properties. The function of polysaccharide depends on its conformation and chemical composition. However, the solution conformations of carrageenans are highly debated, and the structure-function relationship remains elusive. Here, we have studied the intrinsic conformational behavior of a series of carrageenan hexamers in solution, using extensive all-atom classical MD and enhanced sampling. Our findings comprehensively delineate that carrageenans containing the 3,6-anhydrous bridge (κ-C, ι-C, θ-C, and non-sulfated ß-C) adopt compact helical structures as their predominant conformation in solution, whereas carrageenans without the bridge (µ-C, ν-C, and λ-C) remain as extended loosely packed helices; opposing the 'coil-to-helix' paradigm. Glycosidic linkages access a few allowed orientations. We hypothesize that the 3,6-anhydrous bridge, irrespective of carrageenan's sulfation pattern, is essential for stabilizing the helical conformation at the single-chain level. It provides necessary flexibility to the glycosidic linkage to sample conformations close to the experimentally derived helical structure and also prevents the sugar ring flipping. Sulfate groups mainly modify the chain stiffness due to steric and stereo-electronic effects and participate in hydrogen bonding. Such atomistic insights will be helpful for understanding the differential gelation mechanisms of carrageenans and fine-tuning polysaccharide backbone for various industrial applications.