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1.
Comput Biol Chem ; 101: 107772, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36155273

ABSTRACT

Antimicrobial resistance (AMR), a top threat to global health, challenges preventive and treatment strategies of infections. AMR strains of microbial pathogens arise through multiple mechanisms. The underlying "antibiotic resistance genes" (ARGs) spread through various species by lateral gene transfer thereby causing global dissemination. Human methods also augment this process through inappropriate use, non-compliance to treatment schedule, and environmental waste. Worldwide significant efforts are being invested to discover novel therapeutic solutions for tackling resistant pathogens. Diverse therapeutic strategies have evolved over recent years. In this work we have developed a comprehensive knowledgebase by collecting alternative antimicrobial therapeutic strategies from literature data. Therapeutic strategies against bacteria, virus, fungus and parasites were extracted from PubMed literature using text mining. We have used a subjective (sentimental) approach for data mining new strategies, resulting in broad coverage of novel entities and subsequently add objective data like entity name (including IUPAC), potency, and safety information. The extracted data was organized in a freely accessible web platform, KOMBAT. The KOMBAT comprises 1104 Chemical compounds, 220 of newly identified antimicrobial peptides, 42 bacteriophages, 242 phytochemicals, 106 nanocomposites, and 94 novel entities for phototherapy. Entities tested and evaluated on AMR pathogens are included. We envision that this database will be useful for developing future therapeutics against AMR pathogens. The database can be accessed through http://kombat.igib.res.in/.


Subject(s)
Anti-Infective Agents , Drug Resistance, Bacterial , Humans , Anti-Bacterial Agents/pharmacology , Bacteria , Anti-Infective Agents/pharmacology , Knowledge Bases
2.
Monoclon Antib Immunodiagn Immunother ; 41(5): 243-254, 2022 Oct.
Article in English | MEDLINE | ID: mdl-35939284

ABSTRACT

Increasing fungal infections in immunocompromised hosts are a growing concern for global public health. Along with treatments, preventive measures are required. The emergence of reverse vaccinology has opened avenues for using genomic and proteomic data from pathogens in the design of vaccines. In this work, we present a comprehensive collection of various computational tools and databases with potential to aid in vaccine development. The ongoing pandemic has directed attention toward the increasing number of mucormycosis infections in COVID-19 patients. As a case study, we developed a computational pipeline for assisting vaccine development for mucormycosis. We obtained 6 proteins from 29,447 sequences from UniProtKB as potential vaccine candidates against mucormycosis, fulfilling multiple criteria. These criteria included potential characteristics, namely adhesin properties, surface or extracellular localization, antigenicity, no similarity to any human proteins, nonallergenicity, stability in vitro, and expression in fungal cells. These six proteins were predicted to have B cell and T cell epitopes, proinflammatory inducing peptides, and orthologs in several mucormycosis-causing species. These data could aid in vaccine development against mucormycosis for at-risk individuals.


Subject(s)
COVID-19 , Mucormycosis , Humans , Vaccinology , Proteomics , Antibodies, Monoclonal , Epitopes, T-Lymphocyte/genetics , Computers , Computational Biology
3.
BMC Rheumatol ; 4: 24, 2020.
Article in English | MEDLINE | ID: mdl-32518895

ABSTRACT

BACKGROUND: Our study aimed to compare efficacy and safety of Hetero's adalimumab (Mabura®, Hetero Biopharma Limited) versus reference adalimumab (Humira®, Abbvie Inc.) in Indian patients with active rheumatoid arthritis (RA) concomitant on methotrexate (MTX) therapy. METHODS: Patients (n = 168) were randomized (2:1) to receive either test or reference product for 24 weeks with concomitant MTX. Proportion of patients achieving American College of Rheumatology 20 (ACR20) criteria at week 12 was the primary endpoint. Changes in Disease Activity Score of 28 joints-C-reactive protein (DAS28-CRP), Health Assessment Questionnaire-Disability Index (HAQ-DI), and patients achieving ACR20 at week 24, ACR50/70 at weeks 12 and 24 were secondary endpoints. RESULTS: Patients achieving ACR20 responses with test (96.43%) were similar to reference (96.43%) in intention-to-treat (ITT) analysis at week 12. Proportional difference (PD) between groups (PD [95% CI] 0.0 [- 6.0, 6.0], p = 1.000) for ACR20 at week 12 for ITT analysis showed lower limit of the two-sided 95% CI was above the pre-specified noninferiority margin of - 15%. Similar trend in PP analysis (PD [95% CI] 0.0 [- 0.03, 0.07], p = 1.000), confirmed therapeutic equivalence. No significant difference was noted between arms for patients attaining ACR20 at week 24 and ACR50/70 at weeks 12 and 24 (all p > 0.05). DAS28-CRP and HAQ-DI were similar between groups. Total of 54 patients reported 88 AEs during the study. Out of these, 60 AEs were reported in 34 patients with Hetero-Adalimumab and 28 AEs were reported in 20 patients with Reference-Adalimumab. Total two patients, one in each group reported two serious adverse events (Sinusitis and Viral infection) during the study and resolved completely. No deaths and no life threatening AEs were reported. CONCLUSION: Results demonstrated Hetero's adalimumab is as effective and well tolerated as reference adalimumab in patients with active RA concomitantly on MTX therapy. TRIAL REGISTRATION: CTRI/2016/04/006884, Registered on 28/04/2016.

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