Global genomic and proteomic analysis indicates co-evolution of Neisseria species and with their human host.

Neisseria, a genus from the beta-proteobacteria class, is of potential clinical importance. This genus contains both pathogenic and commensal strains. Gonorrhea and meningitis are two major diseases caused by pathogens belonging to this genus. With the increased use of antimicrobial agents against these pathogens they have evolved the antimicrobial resistance capacity making these diseases nearly untreatable. The set of anti-bacterial resistance genes (resistome) and genes associated with signal processing (secretomes) are crucial for the host-microbial interaction. With the virtue of whole-genome sequences and computational biology, it is now possible to study the genomic and proteomic riddles of Neisseria along with their comprehensive evolutionary and metabolic profiling. We have studied relative synonymous codon usage, amino acid usage, reverse ecology, comparative genomics, evolutionary analysis and pathogen-host (Neisseria-human) interaction through bioinformatics analysis. Our analysis revealed the co-evolution of Neisseria genomes with the human host. Moreover, the co-occurrence of Neisseria and humans has been supported through reverse ecology analysis. A differential pattern of the evolutionary rate of resistomes and secretomes was evident among the pathogenic and commensal strains. Comparative genomics supported the presence of virulent genes in both pathogenic and commensal strains of the select genus. Our analysis also indicated a transition from commensal to pathogenic Neisseria strains through the long run of evolution.

A Phase Ib Study to Evaluate the MEK Inhibitor Cobimetinib in Combination with the ERK1/2 Inhibitor GDC-0994 in Patients with Advanced Solid Tumors.

LESSONS LEARNED: Despite strong preclinical rationale, combined cobimetinib-mediated MEK inhibition and GDC-0994-mediated ERK inhibition was not tolerable on two 28-day dosing schedules in which GDC-0994 was given for 21 days continuously and cobimetinib administered over 21 days either continuously or intermittently. Adverse events were as expected for mitogen-activated protein kinase pathway inhibition, but overlapping and cumulative toxicities could not be managed on either dosing schedule. Pharmacokinetic parameters of cobimetinib and GDC-0994 given in combination were similar to those previously observed in monotherapy studies, so that there was no evidence of drug-drug interaction. Cycle 1 metabolic responses were observed by 18F-fluorodeoxyglucose-positron emission tomography but were not predictive of outcome measured by RECIST 1.1. BACKGROUND: Simultaneous targeting of multiple nodes in the mitogen-activated protein kinase (MAPK) pathway offers the prospect of enhanced activity in RAS-RAF-mutant tumors. This phase Ib trial evaluated the combination of cobimetinib (MEK inhibitor) and GDC-0994 (ERK inhibitor) in patients with locally advanced or metastatic solid tumors. METHODS: Cobimetinib and GDC-0994 were administered orally on two separate dosing schedules. Arm A consisted of concurrent cobimetinib and GDC-0994 once daily for 21 days of a 28-day cycle; Arm B consisted of intermittent dosing of cobimetinib on a 28-day cycle concurrent with GDC-0994 daily for 21 days of a 28-day cycle. RESULTS: In total, 24 patients were enrolled. For Arm A, owing to cumulative grade 1-2 toxicity, the dose of cobimetinib was decreased. For Arm B, dose increases of GDC-0994 and cobimetinib were intolerable with grade 3 dose-limiting toxicities of myocardial infarction and rash. Pharmacokinetic data did not show evidence of a drug-drug interaction. Overall, seven patients had a best overall response of stable disease (SD) and one patient with pancreatic adenocarcinoma had an unconfirmed partial response. CONCLUSION: The safety profile of MEK and ERK inhibition demonstrated classic MAPK inhibitor-related adverse events (AEs). However, overlapping AEs and cumulative toxicity could not be adequately managed on either dosing schedule, restricting the ability to further develop this combination.

Comparative genomics of Mycobacterium reveals evolutionary trends of M. avium complex.

Mycobacterium is gram positive, slow growing, disease causing Actinobacteria. Beside potential pathogenic species, Mycobacterium also contains opportunistic pathogens as well as free living non-pathogenic species. Disease related various analyses on Mycobacterium tuberculosis are very widespread. However, genomic study of overall Mycobacterium species for understanding the selection pressure on genes as well as evolution of the organism is still illusive. MLSA and 16s rDNA based analysis has been generated for 241 Mycobacterium strains and a detailed analysis of codon and amino acid usage bias of mycobacterial genes, their functional analysis have been done. Further the evolutionary features of M. avium complex also have been revealed. Mycobacterial genes are moderately GC rich showed higher expression level in PPs and significant negative correlation with biosynthetic cost of proteins. Translational selection pressure was observed in mycobacterial genes. MAC showed close relationship with NPs and higher evolutionary rate in MAC revealed their constant evolving nature.

Safety, clinical activity and biomarker assessments of atezolizumab from a Phase I study in advanced/recurrent ovarian and uterine cancers.

OBJECTIVE: Patients with advanced/recurrent epithelial ovarian and uterine cancers have limited treatment options beyond platinum chemotherapy. Both tumor types can express programmed death-ligand 1 (PD-L1), providing a potential therapeutic target for these patients. Here we present data from the ovarian and uterine cancer cohorts of the Phase I atezolizumab monotherapy study (PCD4989g). METHODS: This Phase I, multi-center, first-in-human, open-label, dose-escalation/expansion clinical trial investigated single-agent atezolizumab in cohorts of patients with recurrent epithelial ovarian or uterine cancer. The primary objective was to evaluate the safety and tolerability of single-agent atezolizumab. Anti-tumor activity and preliminary assessment of potential biomarkers were evaluated as secondary and exploratory objectives, respectively. RESULTS: The ovarian and uterine cancer cohorts enrolled 12 and 15 patients, respectively (10 [83%] and 5 [33%], respectively, had PD-L1 ≥ 5% on tumor-infiltrating immune cells). Atezolizumab was generally well tolerated with no new safety signals identified. The safety profiles in both cohorts were consistent with the known profile of atezolizumab monotherapy. Treatment-related adverse events (AEs) were mostly Grade ≤ 2, with no treatment-related Grade ≥ 4 AEs reported. Preliminary anti-tumor activity, with long durations of response, was observed in 2 patients from each cohort (ovarian cancer, 8.1 and 30.6+ months; uterine cancer, 7.3 and 16.6+ months). High microsatellite instability and tumor mutational burden were noted in the responders from the uterine cancer cohort. CONCLUSIONS: Atezolizumab monotherapy was well tolerated in patients with epithelial ovarian or uterine cancer and may have clinical activity warranting further investigation. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01375842.

Contrasted evolutionary constraints on carbohydrate active enzymes (CAZymes) in selected Frankia strains.

Carbohydrate active enzymes (CAZymes) are capable of breaking complex polysaccharides into simpler form. In plant-host-associated microorganisms CAZymes are known to be involved in plant cell wall degradation. However, the biology and evolution of Frankia CAZymes are largely unknown. In the present study, we took a genomic approach to evaluate the presence and putative roles of CAZymes in Frankia. The CAZymes were found to be potentially highly expressed (PHX) proteins and contained more aromatic amino acids, which increased their biosynthetic energy cost. These energy rich amino acids were present in the active sites of CAZymes aiding in their carbohydrate binding capacity. Phylogenetic and evolutionary analyses showed that, in Frankia strains with the capacity to nodulate host plants, CAZymes were evolving slower than the other PHX genes, whereas similar genes from non-nodulating (or ineffectively nodulating) Frankia strains showed little variation in their evolutionary constraints compared to other PHX genes. Thus, the present study revealed the persistence of a strong purifying selection on CAZymes of Frankia indicating their crucial role.

A novel phylogenetic tree based on the presence of protein domains in selected actinobacteria.

Protein functional domains are semi-autonomous parts of proteins capable of functioning independently. One protein may contain several domains and one domain may be present in different protein sequences. Thus, protein domains represent the niche specific adaptive nature of an organism. We hypothesized that the presence and absence of protein domains in an organism could be used to make a phylogenetic tree, which may better depict the biotope (niche). Here, we selected 100 actinobacteria and built a phylogenetic tree depending upon the presence and absence of protein domains. Strains of different genera from the same niche were found to cluster together suggesting niche specific domain acquisition among selected strains. Thus, the domain based phylogeny clustered the selected actinobacteria mainly according to their niche rather than their taxonomic classification.

An update on the taxonomy of the genus Frankia Brunchorst, 1886, 174AL.

Since the recognition of the name Frankia in the Approved Lists of bacterial names (1980), few amendments have been given to the genus description. Successive editions of Bergey's Manual of Systematics of Archaea and Bacteria have broadly conflicting suprageneric treatments of the genus without any advances for subgeneric classification. This review focuses on recent results from taxongenomics and phenoarray approaches to the positioning and the structuring of the genus Frankia. Based on phylogenomic analyses, Frankia should be considered the single member of the family Frankiaceae within the monophyletic order, Frankiales. A polyphasic strategy incorporating genome to genome data and omniLog® phenoarrays, together with classical approaches, has allowed the designation and an amended description of a type strain of the type species Frankia alni, and the recognition of at least 10 novel species covering symbiotic and non symbiotic taxa within the genus. Genome to phenome data will be shortly incorporated in the scheme for proposing novel species including those recalcitrant to isolation in axenic culture.

Comparative evolutionary genomics of Corynebacterium with special reference to codon and amino acid usage diversities.

The present study has been aimed to the comparative analysis of high GC composition containing Corynebacterium genomes and their evolutionary study by exploring codon and amino acid usage patterns. Phylogenetic study by MLSA approach, indel analysis and BLAST matrix differentiated Corynebacterium species in pathogenic and non-pathogenic clusters. Correspondence analysis on synonymous codon usage reveals that, gene length, optimal codon frequencies and tRNA abundance affect the gene expression of Corynebacterium. Most of the optimal codons as well as translationally optimal codons are C ending i.e. RNY (R-purine, N-any nucleotide base, and Y-pyrimidine) and reveal translational selection pressure on codon bias of Corynebacterium. Amino acid usage is affected by hydrophobicity, aromaticity, protein energy cost, etc. Highly expressed genes followed the cost minimization hypothesis and are less diverged at their synonymous positions of codons. Functional analysis of core genes shows significant difference in pathogenic and non-pathogenic Corynebacterium. The study reveals close relationship between non-pathogenic and opportunistic pathogenic Corynebaterium as well as between molecular evolution and survival niches of the organism.

Biosynthetic energy cost of potentially highly expressed proteins vary with niche in selected actinobacteria.

Amino acid and protein biosynthesis requires a number of high energy phosphate bonds and includes a dual energy cost for the synthesis of chemical intermediates during the fueling reactions and the conversion of precursor molecules to final products. One popular hypothesis is that the proteins encoded by putative highly expressed genes (hence called PHXPs) generally utilize low energy consuming amino acids to reduce the biosynthetic cost of the essential proteins. In our study, we found that this idea was not supported in the case of actinobacteria. With the actinobacteria, the energy costs of PHXPs varied in relation to their niche. Free-living, including aquatic, soil and extremophilic, and plant-associated actinobacteria were found to use energetically expensive amino acids in their PHXPs. An exception occurred with some animal-host-associated actinobacteria that used energy efficient amino acids. One explanation for these results may be due to the diverse metabolic patterns exhibited by actinobacteria under varied niches influenced by nutritional availability and physical environment.

Comprehensive profiling of functional attributes, virulence potential and evolutionary dynamics in mycobacterial secretomes.

Mycobacterium is an interesting genus which not only includes intimidating pathogens, associated with severe devastations globally, but also comprises of non-pathogenic eco-friendly members that detoxify environmental pollutants. Secretory proteins of the mycobacterial communities are essential components which are firmly believed to facilitate proper cross-talk and apt communication with host cellular surroundings and environmental niche. Secretory elements also play vital roles in mycobacterial pathogenesis. In the present endeavor, an extensive profiling of mycobacterial secretomes, considering both pathogenic and non-pathogenic members, has been executed. Thorough analysis on amino acid composition and functional behavior of the mycobacterial secretory proteins has also been performed. In-depth scrutiny of biosynthetic cost of the secretory proteins with respect to the non-secretory ones indicated that the genus Mycobacterium strictly follows the policy of cost-minimization among the sets of imperative secretory proteins. Comprehensive assessment of potential virulence among the key secretory components signified that the pathogenic mycobacterial members possess a larger share of potentially virulent secretory elements in comparison to their non-pathogenic counterparts. Present analysis also revealed contrasted evolutionary features of the secretomes wherein secretory proteins were found to evolve faster than non-secretory proteins in mycobacterial pathogens but not in the concerned non-pathogens. Outcomes of present investigation promise to provide novel insights into the enigma of mycobacterial pathogenesis, bioremediation and adaptation in diverse niche and aid further scientific investigations associated with concerned research area.

Comparative investigation of the various determinants that influence the codon and amino acid usage patterns in the genus Bifidobacterium.

Various strains of the genus Bifidobacterium are crucial members of the human, animal and insect gut, associated with beneficial probiotic activities. An extensive analysis on codon and amino acid usage of the GC rich genus Bifidobacterium has been executed in the present study. Multivariate statistical analysis revealed a coupled effect of GC compositional constraint and natural selection for translational efficiency to be operative in producing the observed codon usage variations. Gene expression level was inferred to be the most crucial factor governing the codon usage patterns. Amino acid usage was found to be influenced significantly by hydrophobic and aromatic character of the encoded proteins. Gene expressivity and protein energetic cost also had considerable impact on the differential mode of amino acid usage. The genus was found to strictly obey the cost-minimization hypothesis as was reflected from the amino acid usage patterns of the potential highly expressed gene products. Evolutionary analysis revealed that the highly expressed genes were candidates to extreme evolutionary selection pressure and indicated a high degree of conservation at the proteomic level. Interestingly, the complimentary strands of replication appeared to evolve under similar evolutionary constraints which might be addressed as a consequence of absence of replicational selection and lack of strand-specific asymmetry among the members of the genus. Thus, the present endeavor confers considerable know-how pertaining to the codon and amino acid usage intricacies in Bifidobacterium and might prove handy for further scientific investigations associated with the concerned domain.

Rate of occult metastasis in lip squamous cell carcinoma: A systematic review and meta-analysis.

OBJECTIVES: The rate of occult metastasis in lip cancer is poorly studied. Management of the regional nodal basin in lip cancer is thus controversial. This study sought to understand the true rate of micrometastasis in lip cancer. MATERIALS AND METHODS: Systematic review and meta-analysis was conducted of English language studies reporting lip cancer sentinel node biopsy results. Studies were obtained from the PubMed database between the years 2000 and 2023 using the search terms "sentinel node biopsy" and "squamous cell carcinoma." Random effect and fixed effect meta-analyses were performed. RESULTS: Thirteen studies met inclusion criteria. Low heterogeneity was noted among the studies, as indicated by the I2 inconsistency test (I2 = 0%). The rate of occult metastasis ranged between 0 and 33% (mean 9%). A total of 189 lip sentinel node biopsies had been performed. Of these, 21 revealed occult nodal metastasis (11.1%, 95% CI 7.36%-16.44%). One step, generalized linear mixed modeling revealed the true rate of occult nodal metastasis to be 10% (95% CI (0.0504, 0.1746), p < 0.0001). CONCLUSION: The rate of occult metastasis in lip cancer approaches the threshold for elective management of the regional nodal basin. Sentinel node biopsy is optimally suited for management of high-risk early T stage lip cancer.

Whole genome sequencing of Streptomyces antnestii sp. nov. with a potency to become an industrial strain.

Streptomyces Strain San01 is isolated from the soil of ant-nest found in the tea estate of Darjeeling, India. The morphology, biochemical, as well as the molecular characteristics, proved that San01 belonged to the genus Streptomyces. The average nucleotide identity (ANI) value between the genome sequence of the studied strain and its closest phylogenetic neighbors were very low and also could be distinguished from its closest neighbour with broad range of phenotypic data. The draft genome sequence of isolate San01 (NZ_RZYA00000000.1) was estimated to be 9.12 Mbp in size with 71.2% of GC content and it encompasses 39 biosynthetic gene clusters that emphasize the biotechnological potential of this isolate.Based on the phenotypic, genetic and genomic data, isolate San01 (=JCM 34633 = NCTC 14543) merits to be recognized as a type strain of a novel species and hereby propose the name Streptomyces antnestii sp. nov. Incidentally, this is the first report on Streptomyces genomes from Darjeeling, India.

Neem and Turmeric in the management of Covid Associated Mucormycosis (CAM) derived through network pharmacology.

Mucormycosis or 'Black Fungus' has been known to target immunocompromised individuals even before the emergence of COVID-19. Nevertheless, the present circumstances provide the best opening for Covid Associated Mucormycosis (CAM), as the global pandemic is engulfing a large part of human population making them immunocompromised. This drastic increase in Mucormycosis infections has to be addressed as early as possible. There is a growing tendency of relying upon herbal drugs that have minimal side effects and does not compromise our immune system. Recently, the concept of network pharmacology has grabbed the attention of modern science, especially advanced medical sciences. This is a new discipline that can use computational power to systematically catalogue the molecular interactions between botanical formulations and the human body. In this study, Neem and Turmeric was considered as the target plants and an attempt was made to reveal various aspects through which phytocompounds derived from them may effectively manage CAM menace. We have taken a step-by-step approach for identifying the target proteins and ligands associated with Mucormycosis treatment. Functional network analysis and Molecular docking approaches were applied to validate our findings. Quercetin derived from both Neem and Turmeric was found to be one of the main phytocompounds working against Mucormycosis. Along with that, Caffeic acid, Curcumin, Kaempferol, Tetrahydrocurcumin and Myricetin also play a pivotal role in fighting against Black-Fungus. A thorough analysis of our result suggested a triple-front attack on the fungal pathogens and the approaches are necrosis inhibition, iron chelation and immuno-boosting.Communicated by Ramaswamy H. Sarma.

In-silico studies on wild orange (Citrus macroptera Mont.) compounds against COVID-19 pro-inflammation targets.

One-fifth of COVID-19 patients suffer a severe course of COVID-19 (SARS-CoV-2) infection; however, the specific causes remain unclear. Despite numerous papers that have been flooded in different scientific journals clear clinical picture of COVID-19 aftermath persists to remain fuzzy. The survivors of severe COVID-19infection having defeated the virus are just the starting of an uncharted recovery path. Currently, there is no drug available that is safe to consume to combat this pandemic. However, researchers still struggling to find specific therapeutic solutions. The present study employed an in silico approach to assessing the inhibitory potential of the phytochemicals obtained from GC-MS analysis of Citrus macroptera against inflammatory proteins like COX-2, NMDAR and VCAM-1 which remains in a hyperactive state even after a patient is fully cured of this deadly mRNA virus. An extensive molecular docking investigation of the phyto-compounds at the active binding pockets of the inflammatory proteins revealed the promising inhibitory potential of the phytochemicals. Reasonable physicochemical attributes of the compounds following Lipinski's rule of five, VEBER and PAINS analysis further established them as potential therapeutic candidates against aforesaid inflammatory proteins. MM-GBSA binding free energy estimation revealed that Limonene was the most promising candidate displaying the highest binding efficacy with the concerned VCAM-1 protein included in the present analysis. An interesting finding is the phytochemicals exhibited better binding energy scores with the concerned COX-2, VCAM-1 and NMDA receptor proteins than the conventional drugs that are specifically targeted against them. Our in silico results suggest that all the natural phyto-compounds derived from C. macroptera could be employed in Post covid inflammation complexities after appropriate pre-clinical and clinical trials for further scientific validation.Communicated by Ramaswamy H. Sarma.

Phytocompounds from Phyllanthus acidus (L.) Skeels in the management of Monkeypox Virus infections.

Monkeypox is a communicable disease similar to smallpox, primarily occurring in African countries. However, recently it has spread to countries outside Africa and may arise as the next threat after COVID-pandemic. The causative organism, i.e. Monkeypox Virus (MPV) spreads from one individual to another primarily through inhalation of respiratory droplets or through contact with skin lesions of infected individuals. No known drugs are available specifically for MPV. Due to its similarity with smallpox, treatment of monkeypox is being attempted through the administration of the smallpox vaccine. Therefore, we evaluated the efficacy of the plant Phyllanthus acidus against MPV since it is traditionally used in the treatment of chickenpox and smallpox. Through functional annotation, PASS prediction and Network pharmacology analysis, the effectiveness of these chosen P. acidus-derived phytocompounds against MPV was confirmed. Target prediction of the phytocompounds identified in GC-MS analysis of the plant extract showed them to be associated with 76 human proteins. The compounds also show good binding affinity with selected viral proteins: DNA polymerase (DNApol), Putative Virulence Factor (vPVF) and Cytokine Binding Protein. Prediction of Activity Spectra for Substances (PASS) and functional annotation of the target proteins further support their antiviral nature through interaction with these proteins. The compounds were found to modulate pathways related to symptoms of viral infection and this may help in maintaining homeostasis. Our study demonstrates antiviral activity as well as the therapeutic potential of the plant against MPV infection.Communicated by Ramaswamy H. Sarma.

Detection of the peptidyl epitope for vaccine development against MPV.

Background: Monkeypox Virus (MPV) is the cause of zoonotic disease characterized by skin-eruption with pus cell formation and lymphadenopathy. This virus belongs to the Orthopoxvirus genus with DNA as its genetic material. Previously, this infection was reported from Africa and occasionally from USA and UK. However, recently there is a sudden surge of infection in non-epidemic countries and a new strain of MPVhas been discovered. Therefore it is important to revisit the phylogeny of MPV with the addition of new strains. Recently WHO also stressed the need of developing vaccines for new strains. In this scenario we have two objectives for this study -first, to reveal the exact phylogenetic position of the 2022 strain and second, to identify specific peptides which may be used for vaccine development in the future. Methods: The phylogenetic analysis was done with the help of Bayesian phylogeny. The dN/dS calculation was performed based on DNA polymerase genes of selected MPV strains. The peptidyl-epitope was searched in MPV2022/2 SLO strain with the help of several algorithms implemented in Allergen FP v.1.0, NetMHCII 2.3, MHCpred and Toxin Pred. The structure prediction of the proteins and peptides was performed through Hpepdock. The quality of the structures was validated through the Ramachandran plot. The molecular dynamics and simulation were performed through Gromacs software. The interaction between peptide and protein was assessed through Ligplot software. Results: The phylogenetic analysis revealed that the considered 2022 MPVstrains were close to the USA strains. The evolutionary analysis showed the volatile nature of the genome. Moreover, 9-mer peptide sequence was identified as an epitope for vaccine development. Conclusions: The emergence of more virulent strains in near future may not be ruled out. Immunocompromised patients are more susceptible to this virus hence sub-unit vaccine is a better choice than a recombinant or attenuated vaccine against monkeypox. We have identified a small stretch of specific peptide which may be used for developing a subunit vaccine against this virus.

Interactions of SNPs in Folate Metabolism Related Genes on Prostate Cancer Aggressiveness in European Americans and African Americans.

BACKGROUND: Studies showed that folate and related single nucleotide polymorphisms (SNPs) could predict prostate cancer (PCa) risk. However, little is known about the interactions of folate-related SNPs associated with PCa aggressiveness. The study's objective is to evaluate SNP-SNP interactions among the DHFR 19-bp polymorphism and 10 SNPs in folate metabolism and the one-carbon metabolism pathway associated with PCa aggressiveness. METHODS: We evaluated 1294 PCa patients, including 690 European Americans (EAs) and 604 African Americans (AAs). Both individual SNP effects and pairwise SNP-SNP interactions were analyzed. RESULTS: None of the 11 individual polymorphisms were significant for EAs and AAs. Three SNP-SNP interaction pairs can predict PCa aggressiveness with a medium to large effect size. For the EA PCa patients, the interaction between rs1801133 (MTHFR) and rs2236225 (MTHFD1), and rs1801131 (MTHFR) and rs7587117 (SLC4A5) were significantly associated with aggressive PCa. For the AA PCa patients, the interaction of DHFR-19bp polymorphism and rs4652 (LGALS3) was significantly associated with aggressive PCa. CONCLUSIONS: These SNP-SNP interactions in the folate metabolism-related genes have a larger impact than SNP individual effects on tumor aggressiveness for EA and AA PCa patients. These findings can provide valuable information for potential biological mechanisms of PCa aggressiveness.

In silico screening predicts common cold drug Dextromethorphan along with Prednisolone and Dexamethasone can be effective against novel Coronavirus disease (COVID-19).

The ongoing outbreak of Coronavirus disease 2019 (COVID-19) is a matter of great concern. Although the mortality rate caused by this virus is less than that of SARS and MERS, it is showing higher efficacy in terms of human-to-human transmission. Several strategies have been taken by scientists and researchers worldwide to combat this virus. Numerous phytochemicals and synthesized chemicals are under incessant inspection to obtain a potent anti-covid drug. Since, till now no precise therapy is available for covid patients, researchers are trying to categorize all possible anti-covid substances. Repurposing of drugs and combined drug therapy are becoming popular in treating such viral diseases. In this study, we are proposing the repurposing of three chemicals-Dextromethorphan, Prednisolone and Dexamethasone as anti-covid agents. We have used the tertiary structure of Coronavirus main protease (Mpro) with PDB ID 6LU7 as the target protein in this analysis. Molecular docking and dynamics study further revealed their synergistic effect against the COVID-19 protease protein.Communicated by Ramaswamy H. Sarma.