Biology subjects

Murugan, R.

Publications and source records attributed to Murugan, R..

17 recordsLinked to original sources

bioRxiv2026

Targeting PTRAMP-CSS potently inhibits P. falciparum across blood, liver and mosquito stages

Malaria, caused by Plasmodium falciparum spans liver, blood, and mosquito stages, limiting the effectiveness of single-stage vaccines. The PTRAMP-CSS heterodimer, a core component of the essential PCRCR invasion complex, is expressed on merozoites, mature gametocytes, and salivary gland sporozoites, enabling single-antigen targeting across multiple lifecycle stages. Nanobodies against PTRAMP-CSS block merozoite invasion of erythrocytes, reduce mosquito infection in membrane-feeding assays, and inhibit sporozoite invasion of primary human hepatocytes. High-resolution crystal structures of inhibitory and non-inhibitory nanobody-antigen complexes identify conserved inhibitory epitopes and guide the design of bispecific nanobody Fc constructs with enhanced potency. In semi-immune Kenyan CHMI samples, higher baseline IgG to PTRAMP-CSS and Ripr is associated with improved parasite control. By demonstrating conserved vulnerability across all three major lifecycle stages, PTRAMP-CSS offers a realistic path to single-antigen, multistage vaccines and biologics that aim to prevent disease and block transmission.

microbiology↗

bioRxiv2025

Bio-sintering of Limestone to Produce Pollution Free Cement

Industrial cement is produced by consuming too much energy and emitting very high CO2. Nature too produces cement, but it is pollution-free. This research demonstrates an emulation of natural cement by bio-sintering limestone, a process of successive dissolution and reprecipitation of limestone with the help of bacteria in ambient environmental conditions. When the bacteria Acetobacter aceti were introduced into a mixture of ethanol and limestone powder, the pH came down rapidly, and dissolution of limestone into calcium acetate was observed. After the ethanol was fully consumed, the pH rose gradually, and biocement crystals were reprecipitated. All the reaction rates have been determined, and the products have been characterised. It is observed that the morphology of the biocement could be tailored by controlling the reprecipitation process. The dissolution and reprecipitation took place within the time scale of present construction methods. Thus, this process can potentially manufacture industrial cement from limestone sans the pollution.

bioengineering↗

bioRxiv2025

Theory on the accurate estimation of Michaelis-Menten enzyme kinetic parameters from steady state and progress curve datasets

We show that neither pure steady state nor pure progress curve analysis yield reliable estimate of enzyme KM values since these methods are valid only at specific timescales and also use different type of datasets. All the currently proposed validity conditions of these methods assume a priori knowledge on KM. Hence, there is no way to check whether the obtained KM from a given dataset is a reliable estimate or not. Here we propose an integrated approach in which the same time course dataset will be analysed both in the progress curve as well as steady state perspectives at different reaction timescales across replications and substrate concentrations. Our theory shows that there exists an optimum reaction time at which the error in the estimation of KM using various progress curve and steady state methods show the least possible value so that the coefficient of variation of the median KM values obtained across various methods attains a minimum. Using detailed stochastic simulations, we confirm that the KM value obtained with minimum coefficient of variation across various methods is actually the reliable estimate that is close to the original KM value. We further show that using multiple nonlinear regression methods, the type of inhibition viz. competitive, uncompetitive and mixed can be accurately classified apart from obtaining the accurate inhibitor constants and IC50 values from Dixon type average velocity steady state datasets.

biochemistry↗

bioRxiv2025

MolGene-E: Inverse Molecular Design to Modulate Single Cell Transcriptomics

Designing drugs that can restore a diseased cell to its healthy state is an emerging approach in systems pharmacology to address medical needs that conventional target-based drug discovery paradigms have failed to meet. Single-cell transcriptomics can comprehensively map the differences between diseased and healthy cellular states, making it a valuable technique for systems pharmacology. However, single-cell omics data is noisy, heterogeneous, scarce, and high-dimensional. As a result, no machine learning methods currently exist to use single-cell omics data to design new drug molecules. We have developed a new deep generative framework named MolGene-E to tackle this challenge. MolGene-E combines two novel models: 1) a cross-modal model that can harmonize and denoise chemical-perturbed bulk and single-cell transcriptomics data, and 2) a contrastive learning-based generative model that can generate new molecules based on the transcriptomics data. MolGene-E consistently outper-forms baseline methods in generating high-quality, hit-like molecules on gene expression profiles from two evaluation settings: CRISPR knock-out perturbation profiles from L1000toRNAseq dataset, and single-cell gene expression profiles from Sciplex-3 dataset, both in zero-shot molecule generation setting. This superior performance is demonstrated across diverse de novo molecule generation metrics. Extensive evaluations demonstrate that MolGene-E achieves state-of-the-art performance for zero-shot molecular generations. This makes MolGene-E a potentially powerful new tool for drug discovery.

bioinformatics↗

bioRxiv2024

Correlative humoral and cellular immunity to genetically attenuated malaria parasites in humans

Malaria caused by Plasmodium falciparum remains one of the major infectious diseases with a high burden in Sub-Saharan Africa. In spite of the advancements made in vaccine development and implementation in endemic countries, sterile and durable protection has not been achieved. Recently, we have shown the superior protective capacity of whole sporozoites attenuated to arrest late but not early during the liver stage development in a controlled human malaria infection study. Here we report the breadth of antigens targeted by hitherto understudied parasite liver stage immunity and convey the coherence between humoral and cellular immunity observed in our clinical study. Our findings uncover the underlying immunogenic differences between early- and late-liver stage arresting parasites and identify key liver-stage antigens for future vaccine development focused on inducing sterile immunity to malaria.

immunology↗

bioRxiv2024

Somatic hypermutation-mediated paratope flexibility improves the cross-reactivity of human malaria antibodies

The protective capacity of antibodies targeting circumsporozoite protein on sporozoites of the malaria parasite Plasmodium falciparum (PfCSP) is linked to high affinity and cross-reactivity with the PfCSP central repeat domain and N-terminal junction. However, the role of somatic hypermutation (SHM) in the development of such antibodies remains unclear. Here we define the contributions of SHM to the high affinity and strong repeat and N-junction cross-reactivity of the potent anti-PfCSP monoclonal antibody (mAb) 4493 and of similar antibodies with shared SHM and affinity maturation trajectories. Molecular dynamics simulations reveal that SHM reduces the flexibility of the unbound mAb 4493 but increases the flexibility of the antigen-bound complex, thereby lowering the entropic cost for antigen binding. Furthermore, we identify an inverse relation between antibody affinity and serum stability, which limits the protective capacity of these antibodies. Our study provides molecular level evidence for the different roles that the SHM process plays in increasing VH3-49+V{kappa}3-20 antibody affinity and cross-reactivity and demonstrates how antibody affinity maturation can negatively impact antibody stability and thereby function.

immunology↗

bioRxiv2023

Memory B cells dominate the early antibody-secreting cell response to SARS-CoV-2 mRNA vaccination in naive individuals independently of their antibody affinity

Memory B cells (MBCs) formed over the individuals lifetime constitute nearly half of the adult peripheral blood B cell repertoire in humans. To assess their response to novel antigens, we tracked the origin and followed the differentiation paths of MBCs in the early anti-S response to mRNA vaccination in SARS-CoV-2-naive individuals on single-cell and monoclonal antibody level. Newly generated and pre-existing MBCs differed in their differentiation paths despite similar levels of SARS-CoV-2 and common corona virus S-reactivity. Pre-existing highly mutated MBCs showed no signs of germinal center re-entry and rapidly developed into mature antibody secreting cells (ASCs). In contrast, newly generated MBCs derived from naive precursors showed strong signs of antibody affinity maturation before differentiating into ASCs. Thus, although pre-existing human MBCs have an intrinsic propensity to differentiate into ASCs, the quality of the anti-S antibody and MBC response improved through the clonal selection and affinity maturation of naive precursors. HighlightsO_LImRNA vaccination of SARS-CoV-2 naive individuals recruits naive and pre-existing MBCs with similar levels of S-reactivity into the response C_LIO_LIS-reactive naive but not pre-existing MBCs undergo affinity maturation C_LIO_LIS-reactive pre-existing MBCs dominate the early ASC response independent of their antigen affinity C_LIO_LIHigh-affinity S-reactive MBCs and ASCs develop over time and originate from affinity matured naive precursors C_LI

immunology↗

bioRxiv2023

Theory on the power-law distribution of the Michaelis-Menten enzyme kinetic parameters

We show on the biophysical basis that the observed enzyme kinetic parameters related to the substrate binding, product turnover and catalytic efficiency follow power-law type density functions. These finding are validated with the available datasets on various enzymes across different substrates. The product turnover rates and catalytic efficiencies seems to follow a bimodal type density functions in line with the single molecule experiments on enzyme catalysis which can be explained by a sum of two different power-law type density functions. The curve geometry of the density functions is decided by the underlying biophysical factors and the location of the peak is dictated by the natural selection pressure.

biophysics↗

bioRxiv2023

Molecular and functional properties of human Plasmodium falciparum CSP C-terminus antibodies

Human monoclonal antibodies (mAbs) against the central repeat and junction domain of Plasmodium falciparum circumsporozoite protein (PfCSP) have been studied extensively to guide malaria vaccine design compared to antibodies against the PfCSP C terminus. Here, we describe the molecular characteristics and protective potential of a panel of 73 germline and mutated human mAbs against the highly immunogenic PfCSP C-terminal domain. Two mAbs recognized linear epitopes in the C-terminal linker with sequence similarity to repeat and junction motifs, whereas all others targeted conformational epitopes in the -thrombospondin repeat (-TSR) domain. Specificity for the polymorphic Th2R/Th3R but not the conserved RII+ region in the -TSR was associated with IGHV3-21/IGVL3-21 or IGLV3-1 gene usage. Although the C terminus specific mAbs showed signs of more efficient affinity maturation and class-switching compared to anti-repeat mAbs, parasite inhibitory activity was limited to a single C-linker reactive mAb with cross-reactivity to the central repeat and junction. The data provide novel insights in the human anti-C-linker and anti--TSR antibody response that support exclusion of the PfCSP C terminus from malaria vaccine designs.

immunology↗

bioRxiv2022

Theory on the rate equations of Michaelis-Menten type enzyme kinetics with competitive inhibition

We derive approximate expressions under various conditions of validity over both pre- and post-steady state regimes of the velocity-substrate-inhibitor spaces of the Michaelis-Menten enzyme kinetic schemes with fully and partial competitive inhibition. Our refinement over the currently available standard quasi steady state approximations (sQSSA) seems to be valid over wide range of enzyme to substrate and enzyme to inhibitor ratios. Further, we show that under certain conditions the enzyme-inhibitor-substrate system can exhibit temporally well-separated two different steady states with respect to both enzyme-substrate and enzyme-inhibitor complexes. We define the ratios fS = vmax/(KMS + e0) and fI = umax/(KMI + e0) as the acceleration factors with respect to the catalytic conversion of substrate and inhibitor into their respective products. Here KMS and KMI are the Michaelis-Menten parameters associated with the binding of substrate and inhibitor with the enzyme, vmax and umax are the respective maximum reaction velocities and e0, s0, and i0 are total enzyme, substrate and inhibitor levels. When (fS / fI) < 1, then enzyme-substrate complex will show multiple steady states subsequently reaches the full-fledged steady state only after the depletion of enzyme-inhibitor complex. When (fS / fI) > 1, then the enzyme-inhibitor complex will show multiple steady states and subsequently reaches the full-fledged steady state only after the depletion of enzyme-substrate complex. This complex behavior exclusively when (fS / fI) = 1 is the root cause of large amount of error in the estimation of various kinetic parameters both in the cases of fully and partial competitive inhibition schemes using the sQSSA methods. Remarkably, we show that our refined expressions for the reaction velocities over enzyme-substrate-inhibitor space can control this error more significantly than the currently available sQSSA velocity expressions.

biochemistry↗

bioRxiv2021

A Lattice Model on the Rate of DNA Hybridization

We develop a lattice model on the rate of hybridization of the complementary single-stranded DNAs (c-ssDNAs). Upon translational diffusion mediated collisions, c-ssDNAs interpenetrate each other to form correct (cc), incorrect (icc) and trap-correct contacts (tcc) inside the reaction volume. Correct contacts are those with exact registry matches which leads to nucleation and zipping. Incorrect contacts are the mismatch contacts which are less stable compared to tcc which can occur in the repetitive c-ssDNAs. Although tcc possess registry match within the repeating sequences, they are incorrect contacts in the view of the whole c-ssDNAs. The nucleation rate (kN) is directly proportional to the collision rate and the average number of correct-contacts ( ) formed when both the c-ssDNAs interpenetrate each other. Detailed lattice model simulations suggest that [<]ncc[>] {propto} L/V where L is the length of c-ssDNAs and V is the reaction volume. Further numerical analysis revealed the scaling for the average radius of gyration of c-ssDNAs (Rg) with their length as [Formula]. Since the reaction space will be approximately a sphere with radius equals to 2Rg and V {propto} L3/2, one obtains [Formula]. When c-ssDNAs are nonrepetitive, then the overall renaturation rate becomes as kR {propto} kNL and one finally obtains [Formula] in line with the experimental observations. When c-ssDNAs are repetitive with a complexity of c, then earlier models suggested the scaling [Formula] which breaks down at c = L. This clearly suggested the existence of at least two different pathways of renaturation in case of repetitive c-ssDNAs viz. via incorrect contacts and trap correct contacts. The trap correct contacts can lead to the formation of partial duplexes which can keep the complementary strands in the close vicinity for a prolonged timescale. This is essential for the extended 1D slithering, inchworm movements and internal displacement mechanisms which can accelerate the searching for the correct contacts. Clearly, the extent of slithering dynamics will be inversely proportional to the complexity. When the complexity is close to the length of c-ssDNAs, then the pathway via incorrect contacts will dominate. When the complexity is much lesser than the length of c-ssDNA, then pathway via trap correct contacts would be the dominating one. PACS87.10.-e; 87.14.gk; 82.39.Pj; 87.15.R-

biophysics↗

bioRxiv2020

A high-affinity antibody against the CSP N-terminal domain lacks Plasmodium falciparum inhibitory activity

Malaria is a global health concern and research efforts are ongoing to develop a superior vaccine to RTS,S/AS01. To guide immunogen design, we seek a comprehensive understanding of the protective humoral response against Plasmodium falciparum circumsporozoite protein (PfCSP). In contrast to the well-studied responses to the repeat region and the C-terminus, the antibody response against the N-terminal domain of PfCSP (N-CSP) remains obscure. Here, we characterized the molecular recognition and functional efficacy of the N-CSP-specific monoclonal antibody 5D5. The crystal structure at 1.85 [A] resolution revealed that 5D5 binds an -helical epitope in N-CSP with high affinity through extensive shape and charge complementarity, and the unusual utilization of an N-linked glycan. Nevertheless, functional studies indicated low 5D5 binding to live Pf sporozoites, and lack of sporozoite inhibition in vitro and in mosquitoes. Overall, our data on low recognition and inhibition of sporozoites do not support the inclusion of the 5D5 epitope into the next generation of CSP-based vaccines. Summary StatementThe Plasmodium falciparum sporozoite surface protein, PfCSP, is an attractive vaccine target, but the antibody response against the CSP N-terminal domain has remained understudied. Here, to guide immunogen design, Thai et al. provide insights into the binding motif and functional efficacy of the N-terminal domain-specific monoclonal antibody, 5D5.

immunology↗

bioRxiv2019

Theory of transcription bursting: Stochasticity in the transcription rates

Transcription bursting creates variation among the individuals of a given population. Bursting emerges as the consequence of turning on and off the transcription process randomly. There are at least three sub-processes involved in the bursting phenomenon with different timescale regimes viz. flipping across the on-off state channels, microscopic transcription elongation events and the mesoscopic transcription dynamics along with the mRNA recycling. We demonstrate that when the flipping dynamics is coupled with the microscopic elongation events, then the distribution of the resultant transcription rates will be over-dispersed. This in turn reflects as the transcription bursting with over-dispersed non-Poisson type distribution of mRNA numbers. We further show that there exist optimum flipping rates (C, {beta}C) at which the stationary state Fano factor and variance associated with the mRNA numbers attain maxima. These optimum points are connected via [Formula]. Here is the rate of flipping from the on-state to the off-state, {beta} is the rate of flipping from the off-state to the on-state and{gamma} r is the decay rate of mRNA. When = {beta} ={chi} with zero rate in the off-state channel, then there exist optimum flipping rates at which the non-stationary Fano factor and variance attain maxima. Here [Formula] (here [Formula] is the rate of transcription purely through the on-state elongation channel) is the optimum flipping rate at which the variance of mRNA attains a maximum and{chi} C,{kappa} [~=] 1.72/t is the optimum flipping rate at which the Fano factor attains a maximum. Close observation of the transcription mechanism reveals that the RNA polymerase performs several rounds of stall-continue type dynamics before generating a complete mRNA. Based on this observation, we model the transcription event as a stochastic trajectory of the transcription machinery across these on-off state elongation channels. Each mRNA transcript follows different trajectory. The total time taken by a given trajectory is the first passage time (FPT). Inverse of this FPT is the resultant transcription rate associated with the particular mRNA. Therefore, the time required to generate a given mRNA transcript will be a random variable. For a stall-continue type dynamics of RNA polymerase, we show that the overall average transcription rate can be expressed as [Formula] where [Formula] is the microscopic transcription elongation rate in the on-state channel and L is the length of a complete mRNA transcript and [Formula] is the stationary state probability of finding the transcription machinery in the on-state.

systems biology↗

bioRxiv2019

Evolution of protective human antibodies against Plasmodium falciparum circumsporozoite protein repeat motifs

Circumsporozoite protein of the human malaria parasite Plasmodium falciparum (PfCSP) is the main target of antibodies that prevent the infection and disease. Protective antibodies recognize the central PfCSP domain, but our understanding of how parasite inhibition is associated with recognition of this domain and with the evolution of potent antibodies remains scattered. Here, we characterized the epitope specificity of 200 human monoclonal PfCSP antibodies. We show that the majority of PfCSP antibodies bind to NANP and NANP-like motifs with different preferences and define the molecular basis for recognition. Epitope cross-reactivity evolved with increasing antibody affinity around a conserved (N/D)P-NANP-N(V/A) core. High affinity to this motif, but not binding to NANP-like motifs, was associated with parasite inhibition and protection. Thus, NANP drives the development of potent PfCSP antibodies independently of their cross-reactivity profile, a finding with direct implications for the design of a second-generation PfCSP-based malaria vaccine.\n\nHIGHLIGHTSO_LIThe majority of human PfCSP antibodies recognize multiple epitopes\nC_LIO_LINANP affinity maturation drives the evolution of cross-reactive PfCSP antibodies\nC_LIO_LIPreferential PfCSP antibody binding to a conserved core motif\nC_LIO_LIHigh affinity not epitope specificity is associated with PfCSP antibody potency\nC_LI

immunology↗

bioRxiv2018

Theory on the looping mediated stochastic propulsion of transcription factors along DNA

We show that the looping mediated transcription activation by the combinatorial transcription factors (TFs) can be achieved via directional-dependent propulsion, tethered sliding and tethered binding-sliding-unbinding modes. In the propulsion mode, the first arrived TF at the cis-regulatory motifs (CRMs) further recruits other TFs via protein-protein interactions. Such TFs complex has two different types of DNA binding domains (DBDs) viz. DBD1 which forms tight site-specific complex with CRMs via hydrogen bonding network and the promoter specific DBD2s which form nonspecific interactions around CRMs. When the sum of these specific and cumulative nonspecific interactions is sufficient, then the flanking DNA of CRMs will be bent into a circle over the TFs complex. The number of TFs involved in the combinatorial regulation plays critical role here. When the site-specific interactions and the cumulative nonspecific interactions are strong enough to resist the dissociation, then the sliding of DBD2s well within the Onsager radius associated with the DBD2s-DNA interface towards the promoter is the only possible way to release the elastic stress of the bent DNA. The DBD2s form tight synaptosome complex upon finding the promoter via sliding. When the number of TFs is not enough to bend the DNA in to a circle, then tethered sliding or tethered binding-sliding-unbinding modes are the possibilities. In tethered sliding, the CRMs-TFs complex forms nonspecific contacts with DNA via dynamic loops and then slide along DNA towards promoter without dissociation. In tethered binding-sliding-unbinding, the CRMs-TFs performs several cycles of nonspecific binding-sliding-unbinding before finding the promoter. Elastic and entropic energy barriers associated with the looping of DNA shape up the distribution of distances between CRMs and promoters. The combinatorial regulation of TFs in eukaryotes has evolved to overcome the looping energy barrier.

biophysics↗

bioRxiv2017

Theory of site-specific DNA-protein interactions in the presence of nucleosome roadblocks

We show that nucleosomes can efficiently control the relative search times spent by transcription factors (TFs) on one- (1D) and three-dimensional (3D) diffusion routes towards locating their cognate sites on DNA. Our theoretical results suggest that the roadblock effects of nucleosomes are dependent on the relative position on DNA with respect to TFs and their cognate sites. Especially, nucleosomes exert maximum amount of hindrance to the 1D diffusion dynamics of TFs when they are positioned in between TFs and their cognate sites. The effective 1D diffusion coefficient ({chi}TF) associated with the dynamics of TFs in the presence of nucleosome decreases with the free energy barrier ({micro}) associated the sliding dynamics of nucleosomes as [Formula]. Subsequently the mean first passage time ({eta}L) that is required by TFs to scan L number of binding sites on DNA via 1D diffusion increases with as [Formula]. When TFs move close to nucleosomes then they exhibit a typical sub-diffusive dynamics. Nucleosomes can enhance the search dynamics of TFs when TFs present in between nucleosomes and transcription factor binding sites (TFBS). The level of enhancement effects of nucleosomes seems to be much lesser than the level of retardation effects when nucleosomes present in between TFs and their cognate sites. These results suggest that nucleosome depleted regions around the cognate sites of TFs is mandatory for an efficient site-specific interactions of TFs with DNA. Remarkably the genome wide positioning pattern of TFs shows maximum at their specific binding sites and the positioning pattern of nucleosome shows minimum at the specific binding sites of TFs under in vivo conditions. This seems to be a consequence of increasing level of breathing dynamics of nucleosome cores and decreasing levels of fluctuations in the DNA binding domains of TFs as they move across TFBS. Since the extent of breathing dynamics of nucleosomes and fluctuations in the DBDs of TFs are directly linked with their respective 1D diffusion coefficients, the dynamics of TFs becomes slow as they approach their cognate sites so that TFs form tight site-specific complex. Whereas the dynamics of nucleosomes becomes rapid so that they pass through the cognate sites of TFs. Several in vivo datasets on genome wide positioning pattern of nucleosomes as well as TFs seem to agree well with our arguments. We further show that the condensed conformational state of DNA can significantly decrease the retarding effects of nucleosome roadblocks. The retarding effects of nucleosomes on the 1D diffusion dynamics of TFs can be nullified when the degree of condensation of the genomic DNA is such that it can permit a jump size associated with the dynamics of TFs beyond k > 150 bps.

biophysics↗

bioRxiv2017

Theory On The Rate Equation Of Michaelis-Menten Type Single-Substrate Enzyme Catalyzed Reactions

Analytical solution to the Michaelis-Menten (MM) rate equations for single-substrate enzyme catalysed reaction is not known. Here we introduce an effective scaling scheme and identify the critical parameters which can completely characterize the entire dynamics of single substrate MM enzymes. Using this scaling framework, we reformulate the differential rate equations of MM enzymes over velocity-substrate, velocity-product, substrate-product and velocity-substrate-product spaces and obtain various approximations for both pre- and post-steady state dynamical regimes. Using this framework, under certain limiting conditions we successfully compute the timescales corresponding to steady state, pre- and post-steady states and also compute the approximate steady state values of velocity, substrate and product. We further define the dynamical efficiency of MM enzymes as the ratio between the reaction path length in the velocity-substrate-product space and the average reaction time required to convert the entire substrate into product. Here dynamical efficiency characterizes the phase-space dynamics and it would tell us how fast an enzyme can clear a harmful substrate from the environment. We finally perform a detailed error level analysis over various pre- and post-steady state approximations along with the already existing quasi steady state approximations and progress curve models and discuss the positive and negative points corresponding to various steady state and progress curve models.

biochemistry↗