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Biology subjects

Chaudhuri, A.

Publications and source records attributed to Chaudhuri, A..

At least 19 recordsLinked to original sources

Rewiring V-type and K-type enzyme allostery through subunit interface mutations

Allosteric regulation in the heterodimeric enzyme IGPS depends on long-range communication between the effector-binding HisF subunit and the catalytic HisH subunit. This signaling occurs through a densely packed interdomain interface enriched in conserved noncovalent contacts. Here, we use targeted interface mutations to determine how specific interfacial contacts tune the structural and dynamic features that govern allosteric control. The hK181A variant, which disrupts a critical salt bridge with fD98, converts IGPS into a constitutively more active enzyme, increasing basal glutaminase activity and substrate affinity. By contrast, hR18A, which disrupts a secondary salt bridge with fE71, weakens effector-induced activation, revealing functional asymmetry among interfacial interactions. NMR chemical shift perturbation and CPMG relaxation dispersion experiments show that hK181A remodels millisecond-timescale dynamics throughout HisF, consistent with molecular dynamics simulations indicating enhanced sampling of catalytically competent conformations. Network traffic analysis of correlated communication pathways, combined with energetic analysis, further shows that enthalpic and entropic contributions are redistributed to rewire long-range allosteric signaling. Together, these results identify specific interfacial residues as molecular gates that shape the conformational ensemble accessible to IGPS and show how interface reengineering can be used to rationally reprogram allosteric output. Significance StatementEnzymes often work like molecular switches: binding at one site can change activity at another distant site. How to predict or redesign this communication remains a major challenge. Using imidazole glycerol phosphate synthase (IGPS), we show that changing single amino acids at the interface between its two protein subunits can alter how the enzyme responds to regulation. One substitution shifts IGPS toward a response that changes both catalytic rate and substrate binding, whereas another weakens activation by disrupting communication across the interface. These findings identify interfacial residues that act as control points in an allosteric network and suggest a practical strategy for engineering enzymes with customized regulatory behavior.

biophysics↗

Targeting a macrophage stemness factor to mitigate diseases post respiratory viral infection

Tissue-resident alveolar macrophages (AMs) rely on intrinsic stem-like programs for self-renewal and maintenance, yet the transcriptional networks that support these functions and their relevance to post-viral lung disease remain largely unknown. Here, we identify TCF4 (Tcf7l2) as a critical transcription factor that governs AM maturation and stemness. Loss of TCF4 impaired AM proliferation, shifted their identity toward a pro-inflammatory phenotype, and exacerbated host morbidity following influenza or SARS-CoV-2 infection. Conversely, enforced TCF4 expression promoted the expansion of mature AMs, and supported lung recovery, thereby protecting against severe acute viral disease. Mechanistically, TCF4 antagonized {beta}-catenin-driven inflammatory transcription while preserving oxidative phosphorylation, defining a reciprocal regulatory axis essential for AM function. Notably, respiratory viral infections and exuberant interferon signaling suppressed TCF4 expression, which remains chronically reduced in murine and human lungs with post-COVID fibrosis. This downregulation is associated with persistent KRT8hi dysplastic epithelium and collagen deposition. Moreover, aging diminished TCF4 levels and enforced TCF4 expression dampened age-associated decline of AM self-renewal. Furthermore, in vivo TCF4 overexpression after viral clearance enhanced mature AM accumulation, promoted lung epithelium regeneration, attenuated chronic tissue fibrosis and restored pulmonary physiologial function in aged lungs in a model of persistent pulmonary fibrosis post-acute viral infection. These findings have established TCF4 as a key regulator of AM stemness and identified a promising therapeutic target for long COVID and related chronic lung diseases through the modulation of embryonic-derived macrophage regenerative capacity by targeting TCF4.

immunology↗

Constructing Gene Regulatory Network using Chatterjee's Rank Correlation with Single-cell Transcriptomic Data

Discovering gene regulatory networks (GRNs) from single-cell RNA sequencing (scRNA-seq) data is critical for understanding cellular function. Still, existing methods are limited by strong theoretical assumptions or high computational complexity. We introduce a multiple testing framework for GRN construction using Chatterjee's rank correlation coefficient, a nonparametric measure of dependence. Our approach overcomes the limitations of traditional methods while offering a transparent, scalable, and computationally efficient alternative to recent black-box machine learning models. Crucially, to address the non-independence of cellular observations inherent to scRNA-seq, we develop a data-driven algorithm for estimating robust testing cutoffs. Furthermore, we exploit the asymmetric nature of Chatterjee's correlation to propose a new test for active regulation, enabling the construction of biologically meaningful and directionally informed GRNs. We demonstrate that our method matches or outperforms state-of-the-art approaches in recovering true gene-gene dependencies and directed regulatory interactions from both simulated and real datasets, particularly for complex, non-linear dependencies, providing a powerful tool for dissecting complex GRNs.

bioinformatics↗

Lead optimization against drug-resistant Leishmania donovani infection: Semi-synthetic derivatives of ethyl linoleate isolated from Indian edible mushroom Meripilus giganteus.

Visceral leishmaniasis, the most severe form, affects thousands of people annually. Current drugs in practice fail to provide an absolute cure. Globally, treatment relies on a single dose of liposomal amphotericin B, which requires a costly setup and cold chain to maintain. Natural molecules remain the vital sources of therapeutic ingredients in modern medicine. Meripilus giganteus is traditionally consumed by the people of the North-eastern regions of the Himalayas, India. In this study, we planned for the stepwise bioactivity-guided isolation of natural molecules from M. giganteus and to synthesize more potential therapeutic derivatives against the drug-resistant Leishmania infection. HPLC chromatogram of ethyl acetate extract obtained from M. giganteus revealed the presence of ethyl linoleate as the most active anti-leishmanial molecule. Several derivatives of ethyl linoleate were synthesized and evaluated against Leishmania promastigotes. Among them, a single epoxygenated variant of ethyl linoleate, ethyl (Z)-8-(3-(oct-2-en-1-yl) oxiran-2-yl) octanoate (EL3), showed promising anti-leishmanial activity against both drug-sensitive and drug-resistant Leishmania donovani. The lead derivative disrupts the biosynthesis of trypanothione from glutathione and spermidine, making the parasite vulnerable to the oxidative burst inside the host. Interestingly, the lead derivative was found to be more efficient against the drug-resistant L. donovani, in vivo. Besides this, it has almost no toxicity towards host cells. Considering the urgency for new drug development, we propose this novel semi-synthetic derivative as a potent therapeutic lead.

immunology↗

Design of solubly expressed miniaturized SMART MHCs

The precise recognition of specific peptide-MHC (pMHC) complexes by T-cell receptors (TCRs) plays a key role in infectious disease, cancer and autoimmunity. A critical step in many immunobiological studies is the identification of T-cells expressing TCRs specific to a given pMHC antigen. However, the intrinsic instability of empty class-I MHCs limits their soluble expression in Escherichia coli (E. coli) and makes it very difficult to characterize even a small fraction of possible pMHC/TCR interactions. To overcome this limitation, we designed small proteins which buttress the peptide binding groove of class I MHCs, replacing {beta}2-microglobulin ({beta}2m) and the heavy chain 3 domain, and enable soluble expression of both H-2Db and A*02:01 in E. coli. We demonstrate that these soluble, monomeric, antigen-receptive, truncated (SMART) MHCs retain both peptide- and TCR-binding specificity, and that peptide-bound structures of both allomorphs are similar to their full-length, native counterparts. With extension to the majority of HLA alleles, SMART MHCs should be broadly useful for probing the T-cell repertoire in approaches ranging from yeast display to T-cell staining. SignificanceDespite the critical role that TCR/pMHC interactions play in human health, it has remained difficult to produce reagents necessary to study them. Requirements for refolding or sequence optimization limit immunologists and biochemists ability to characterize diverse pMHC/TCR interactions. Here, we develop a de-novo designed protein domain that stabilizes the H-2Db and A*02:01 class I MHC allomorphs, allowing soluble expression in E. coli without the need for a stabilizing peptide, and improving display on the yeast surface, while maintaining peptide and TCR binding interactions. These features facilitate a wide range of experiments to more fully understand the nature of pMHC/TCR interactions, and pave the way for the development of stabilizing domains for all MHC allomorphs.

biochemistry↗

De-novo design of actively spinning and gyrating spherical micro-vesicles

Engineering spherical self-propelled swimmers that exhibit rotation and directed translation has posed a significant experimental challenge in biomedicine design. Often a secondary external field or asymmetric geometry is employed to generate rotation, complicating the design process. In this work, we utilize spherical Giant Unilamellar Vesicles (GUVs) as chassis and enzymes undergoing cyclic, non-reciprocal conformational changes as power units to establish design principles to synthesize autonomous spherical micro({micro})-rotors. Leveraging transient interactions, we induce spontaneous symmetry-breaking in enzyme distribution on GUVs, enabling diverse movements from pure spinning to spiral 3D trajectories. With this design, we now open new avenues for advancing self-propelled systems with biocompatible materials, unlocking innovations in biomedical applications.

biophysics↗

CryoEM structure of an MHC-I/TAPBPR peptide bound intermediate reveals the mechanism of antigen proofreading

Class I major histocompatibility complex (MHC-I) proteins play a pivotal role in adaptive immunity by displaying epitopic peptides to CD8+ T cells. The chaperones tapasin and TAPBPR promote the selection of immunogenic antigens from a large pool of intracellular peptides. Interactions of chaperoned MHC-I molecules with incoming peptides are transient in nature, and as a result, the precise antigen proofreading mechanism remains elusive. Here, we leverage a high-fidelity TAPBPR variant and conformationally stabilized MHC-I, to determine the solution structure of the human antigen editing complex bound to a peptide decoy by cryogenic electron microscopy (cryo-EM) at an average resolution of 3.0 [A]. Antigen proofreading is mediated by transient interactions formed between the nascent peptide binding groove with the P2/P3 peptide anchors, where conserved MHC-I residues stabilize incoming peptides through backbone-focused contacts. Finally, using our high-fidelity chaperone, we demonstrate robust peptide exchange on the cell surface across multiple clinically relevant human MHC-I allomorphs. Our work has important ramifications for understanding the selection of immunogenic epitopes for T cell screening and vaccine design applications.

immunology↗

Mutational and evolutionary dynamics of non-structural and spike proteins from variants of concern (VOC) ofSARS-CoV-2 in India

Monitoring the genetic diversity and emerging mutations of SARS-CoV-2 still remains to be crucial in India. This study extensively analyzes the lineage dynamics, mutation screening, structural analysis, and phylodynamics of SARS-CoV-2 variants of concern (VOC) in India from October 2020 to September 2023. Predominant variants identified include alpha, beta, delta, and omicron, with delta and omicron making up 76.05% of sequenced genomes. The B.1.617.2 lineage of delta was the major contributor to COVID-19 cases before the rapid rise of omicron. Mutation screening of non-structural proteins (NSPs) and spike revealed distinct profiles for each VOC. Co-mutation patterns/networks of the most frequently observed mutations specific for each VOC were also identified and subsequently structural and energetic alteration of the co-mutants were analyzed using rigorous molecular dynamics simulations. Furthermore, comparative analysis of phylogenetic trees based on genomic and mutational data revealed that nsp1, nsp3, nsp4, nsp13, and nsp14 exhibit strongest association with the increased mutation load across the genome of SARS-CoV-2 in Indian population. Our comparative phylogenetic study also revealed that mutability patterns of nsp14 and spike have highest similarity supporting critical role of nsp14 for SARS-CoV-2 infectivity and persistence. This research provides a comprehensive overview of SARS-CoV-2 evolution in India.

bioinformatics↗

β-hydroxybutyrate is a metabolic regulator of proteostasis in the aged and Alzheimer disease brain

Loss of proteostasis is a hallmark of aging and Alzheimer disease (AD). Here, we identify {beta}-hydroxybutyrate ({beta}HB), a ketone body, as a regulator of protein solubility in the aging brain. {beta}HB is a small molecule metabolite which primarily provides an oxidative substrate for ATP during hypoglycemic conditions, and also regulates other cellular processes through covalent and noncovalent protein interactions. We demonstrate {beta}HB-induced protein insolubility across in vitro, ex vivo, and in vivo mouse systems. This activity is shared by select structurally similar metabolites, is not dependent on covalent protein modification, pH, or solute load, and is observable in mouse brain in vivo after delivery of a ketone ester. Furthermore, this phenotype is selective for pathological proteins such as amyloid-{beta}, and exogenous {beta}HB ameliorates pathology in nematode models of amyloid-{beta} aggregation toxicity. We have generated a comprehensive atlas of the {beta}HB-induced protein insolublome ex vivo and in vivo using mass spectrometry proteomics, and have identified common protein domains within {beta}HB target sequences. Finally, we show enrichment of neurodegeneration-related proteins among {beta}HB targets and the clearance of these targets from mouse brain, likely via {beta}HB-induced autophagy. Overall, these data indicate a new metabolically regulated mechanism of proteostasis relevant to aging and AD.

physiology↗

Decoding optimal ligand design for multicomponent condensates

Biomolecular condensates form via multivalent interactions among key macromolecules and are regulated through ligand binding and/or post-translational modifications. One such modification is ubiquitination, the covalent addition of ubiquitin (Ub) or polyubiquitin chains to target macromolecules for various cellular processes. Specific interactions between polyubiquitin chains and partner proteins, including hHR23B, NEMO, and UBQLN2, regulate condensate assembly or disassembly. Here, we used a library of designed polyubiquitin hubs and UBQLN2 as model systems for determining the driving forces of ligand-mediated phase transitions. Perturbations to the UBQLN2-binding surface of Ub or deviations from the optimal spacing between Ub units reduce the ability of hubs to modulate UBQLN2 phase behavior. By developing an analytical model that accurately described the effects of different hubs on UBQLN2 phase diagrams, we determined that introduction of Ub to UBQLN2 condensates incurs a significant inclusion energetic penalty. This penalty antagonizes the ability of polyUb hubs to scaffold multiple UBQLN2 molecules and cooperatively amplify phase separation. Importantly, the extent to which polyubiquitin hubs can promote UBQLN2 phase separation are encoded in the spacings between Ub units as found for naturally-occurring chains of different linkages and designed chains of different architectures, thus illustrating how the ubiquitin code regulates functionality via the emergent properties of the condensate. We expect our findings to extend to other condensates necessitating the consideration of ligand properties, including concentration, valency, affinity, and spacing between binding sites in studies and designs of condensates. Highlights[bullet] There is an optimal polyUb ligand architecture/design that promotes multicomponent phase separation, as polyUb hubs whose Ub units are too close together or too far apart are not effective drivers of phase separation for either UBQLN2 450-624 or full-length UBQLN2. [bullet]Theoretical modeling reveals that Ub incurs a significant inclusion energetic penalty that is balanced by polyUbs ability to act as a hub to amplify UBQLN2-UBQLN2 interactions that facilitate phase separation. [bullet]Naturally-occurring M1-linked polyUb chains are optimized to maximize phase separation with UBQLN2. [bullet]Different linkages used in the Ub code deliver biochemical information via Ub-Ub spacing, whereby different outcomes are regulated by the emergent properties of Ub-containing biomolecular condensates. SignificanceBiomolecular condensates are essential for cellular processes and are linked to human diseases when dysregulated. These condensates likely assemble via phase transitions of a few key driver macromolecules and are further modulated by the interactions with ligands. Previous work showed that ligands with one binding site inhibit driver phase transitions whereas ligand hubs comprising several identical binding sites to drivers promote phase transitions. Here, using a library of designed ligand hubs with decreasing or increasing spacings between binding sites and altered binding affinities with drivers, we employ theory and experiments to establish a set of rules that govern how ligand hubs affect driver phase transitions. Our findings reveal that effects of macromolecules can be manipulated through emergent properties of condensates.

biophysics↗

The role of myosin contractility as a molecular determinant of traction force regulation

Cells generate traction forces on the extracellular matrix to crawl forward. A complex molecular machinery is involved in the generation, transmission, and transduction of cellular forces inside and outside of cells. The molecular clutch hypothesis, with motors as rudimentary force generators, has been beneficial in modelling the distinctive biomechanical roles played by the components of this machinery. In this paper, we propose an analytical model that incorporates the active dynamics of myosin motors and establishes their roles in regulating the traction force in an experimentally accessible parameter space. As the parameters pertaining to molecular determinants are varied, we show that the system traverses between diverse states of stabilities - from decaying oscillations to self-sustaining limit cycles. The hallmarks of motor-clutch models like load-and-fail dynamics and shift in traction optima are successfully encapsulated. Modulating myosin activity in our model via different pathways exhibits striking shifts in optimal stiffness, providing excellent agreement with experiments and additional testable predictions.

biophysics↗

Tip-links serve as force-pass filter to fulfil the role of gating-springs

Tip-links as gating-spring in the mechanotransduction in hearing is still a debate. While the molecular elasticity of individual tip-link proteins warrants its candidature, the apparent rigidity from the heterotetrameric tip-links assembly refutes the claim. Using force-clamp experiments and simulations, we report that the heterotetrameric assembly is the natural selection for the gating-springs. Tip-links follow slip-ideal-slip bonds with increasing force. While in slip, the complex dissociates monotonously, ideal-bond interface responds indifferently to various auditory inputs. Insensitivity to forces renders tip-links as low-force pass filter, characteristic of gating-spring. Individual tip-links, however, forms slip-catch-slip bonds under tension. While catch bonds turn stronger with force from loud sound, our Langevin dynamics indicated the transition from slip-catch to slip-ideal bonds as cooperative effect of the dimers of individual protein complexes in tip-links. From molecular dynamics, we deciphered the molecular mechanism of catch bonds and its importance in deafness.

biophysics↗

Immunodominant influenza epitope GILGFVFTL engage common and divergent TCRs when presented as a 9-mer or a 15-mer peptide

Antigen-specific T-cells are a powerful modality for treating cancer and other life-threatening viral and bacterial diseases. Technologies to identify and expand antigen-specific T-cells rapidly can shorten the time, and lower the cost of treatment. In this regard, screening short overlapping peptides to identify antigen-specific T-cells in ex vivo T-cell activation assay is becoming routine. Screening assays typically use 15-mer peptides to stimulate patient-derived, or healthy peripheral blood mononuclear cells to activate T-cells and identify expanded TCRs by next generation sequencing. Previous studies comparing the kinetics of T-cell activation using a 9 and a 15-mer peptide versions of a CMV immunodominant epitope demonstrated that 15-mer peptides induced CD8 T-cell activation at a slower kinetics reaching a lower magnitude compared to 9-mer peptides. The fact that 9-mer peptides are an optimal fit for the MHC class-I binding groove could explain this difference, with the 15-mer peptide requiring additional proteolytic processing before binding to the deeper binding groove of class-I MHC. Alternatively, the delay in kinetics and magnitude can result from the activation of a wider diversity of TCRs engaging novel epitopes generated from the 15-mer peptide whose activation profile may be different from the profile of TCRs that normally respond to the 9-mer immunodominant epitope. We sought to address these two possibilities by comparing T-cell engagement to the HLA-2-restricted GILGFVFTL epitope presented as a 9-mer, or a 15-mer peptide and analyzing CDR3 expansion as a measure of T-cell engagement diversity. This approach also addressed an important question as to whether optimal TCRs could be missed using a 15-mer peptide used routinely in screening assays.

immunology↗

Rrp6p/Rrp47p constitutes an independent nuclear turnover system of mature small non-coding RNAs in Saccharomyces cerevisiae

In Saccharomyces cerevisiae, the nuclear exosome/Rrp6p/TRAMP participates in the 3-end processing of several precursor non-coding RNAs. Here we demonstrate that the depletion of nucleus-specific 3[->]5 exoribonuclease Rrp6p and its cofactor, Rrp47p led to the specific and selective enhancement of steady-state levels of mature small non-coding RNAs (sncRNAs) that include 5S and 5.8S rRNAs, snRNAs and snoRNAs, but not 18S and 25S rRNAs. Most importantly, their steady-state enhancement does not require the exosome, TRAMP, CTEXT, or Rrp6p-associated Mpp6p. Rrp6p/47p-dependent enhancement of the steady-state levels of sncRNAs is associated with the diminution of their nuclear decay-rate and requires their polyadenylation before targeting by Rrp6p, which is catalyzed by both the canonical and non-canonical poly(A) polymerases, Pap1p and Trf4p. Consistent with this finding, we also demonstrated that Rrp6p and Rrp47p exist as an exosome-independent complex. Thus, Rrp6p-Rrp47p defines a core nuclear exosome-independent novel turnover system that targets the small non-coding RNAs.

molecular biology↗

Immunodominant T-cell epitopes from the SARS-CoV-2 spike antigen reveal robust pre-existing T-cell immunity in unexposed individuals

The COVID-19 pandemic has revealed a range of disease phenotypes in infected patients with asymptomatic, mild or severe clinical outcomes, but the mechanisms that determine such variable outcomes remain unresolved. In this study, we identified immunodominant CD8 T-cell epitopes in the RBD and the non-RBD domain of the spike antigen using a novel TCR-binding algorithm. A selected pool of 11 predicted epitopes induced robust T-cell activation in unexposed donors demonstrating pre-existing CD4 and CD8 T-cell immunity to SARS-CoV-2 antigen. The T-cell reactivity to the predicted epitopes was higher than the Spike-S1 and S2 peptide pools containing 157 and 158 peptides both in unexposed donors and in convalescent patients suggesting that strong T-cell epitopes are likely to be missed when larger peptide pools are used in assays. A key finding of our study is that pre-existing T-cell immunity to SARS-CoV-2 is contributed by TCRs that recognize common viral antigens such as Influenza and CMV, even though the viral epitopes lack sequence identity to the SARS-CoV-2 epitopes. This finding is in contrast to multiple published studies in which pre-existing T-cell immunity is suggested to arise from shared epitopes between SARS-CoV-2 and other common cold-causing coronaviruses. Whether the presence of pre-existing T-cell immunity provides protection against COVID-19 or contributes to severe disease phenotype remains to be determined in a larger cohort. However, our findings raise the expectation that a significant majority of the global population is likely to have SARS-CoV-2 reactive T-cells because of prior exposure to flu and CMV viruses, in addition to common cold-causing coronaviruses.

immunology↗

Comparative analysis of non structural protein 1 of SARS-COV2 with SARS-COV1 and MERS-COV: An in silico study

The recently emerged SARS-CoV2 caused a major pandemic of coronavirus disease (COVID-19). Non structural protein 1 (nsp1) is found in all beta coronavirus that causes several severe respiratory diseases. This protein is considered as a virulence factor and has an important role in pathogenesis. This study aims to elucidate the structural conformations of non structural protein 1 (nsp1), prediction of epitope sites and identification of important residues for targeted therapy against COVID-19. In this study, molecular modelling coupled with molecular dynamics simulations were performed to analyse the conformational change of nsp1 of SARS-CoV1, SARS-CoV2 and MERS-CoV at molecular level. Principal component analysis escorted by free energy landscape revealed that SARS-CoV2 nsp1 protein shows greater flexibility, compared to SARS-CoV1 and MERS-CoV nsp1. From the sequence alignment, it was observed that 28 mutations are present in SERS-CoV2 nsp1 protein compared to SERS-CoV1 nsp1. Several B-cell and T-cell epitopes were identified by immunoinformatics approach. SARS-CoV2 nsp1 protein binds with the interface region of the palm and finger domain of POLA1 by using hydrogen bond and salt bridge interactions. These findings can be used to develop therapeutics specific against COVID-19.

bioinformatics↗

Dynein catch bond as a mediator of codependent bidirectional cellular transport

Intracellular bidirectional transport of cargo on Microtubule filaments is achieved by the collective action of oppositely directed dynein and kinesin motors. Experiments have found that in certain cases, inhibiting the activity of one type of motor results in an overall decline in the motility of the cellular cargo in both directions. This counter-intuitive observation, referred to as paradox of codependence is inconsistent with the existing paradigm of a mechanistic tug-of-war between oppositely directed motors. Unlike kinesin, dynein motors exhibit catchbonding, wherein the unbinding rates of these motors decrease with increasing force on them. Incorporating this catchbonding behavior of dynein in a theoretical model, we show that the functional divergence of the two motors species manifests itself as an internal regulatory mechanism and provides a plausible resolution of the paradox of codependence.

biophysics↗

Distribution of Purines and Pyrimidines over miRNAs of Human, Gorilla and Chimpanzee

Meaningful words in English need vowels to break up the sounds that consonants make. The Nature has encoded her messages in RNA molecules using only four alphabets A, U, C and G in which the nine member double-ring bases (adenine (A) and Guanine (G)) are purines, while the six member single-ring bases (cytosine (C) and uracil (U)) are pyrimidines. Four bases A, U, C and G of RNA sequences are divided into three kinds of classifications according to their chemical properties. One of the three classifications, the purine-pyrimidine class is important. In understanding the distribution (organization) of purines and pyrimidines over some of the non-coding regions of RNA, all miRNAs from three species of Family Hominidae (namely human, gorilla and chimpanzee) are considered. The distribution of purines and pyrimidines over miRNA shows deviation from randomness. Based on the quantitative metrics (fractal dimension, Hurst exponent, Hamming distance, distance pattern of purine-pyrimidine, purine-pyrimidine frequency distribution and Shannon entropy) five different clusters have been made. It is identified that there exists only one miRNA in human hsa-miR-6124 which is purely made of purine bases only.\n\nAMS Subject Classification: 92B05 & 92B15

bioinformatics↗