{"id":115113,"date":"2026-09-23T10:45:05","date_gmt":"2026-09-23T05:15:05","guid":{"rendered":"https:\/\/staging.nanoschool.in\/wp\/biotechnology\/computational-analysis-of-protein-misfolding-in-neurodegenerative-diseases-structural-insights-biomarker-discovery-therapeutic-development\/"},"modified":"2026-10-21T16:59:50","modified_gmt":"2026-10-21T11:29:50","slug":"biotechnology-protein-misfolding-neurodegenerative-diseases","status":"publish","type":"post","link":"https:\/\/staging.nanoschool.in\/wp\/biotechnology\/biotechnology-protein-misfolding-neurodegenerative-diseases\/","title":{"rendered":"Computational Neurobiology with AI: Protein Dynamics, Biomarkers, Molecular Pathways &#038; Drug Discovery"},"content":{"rendered":"<div class=\"nsp-isolated-wrapper\"><main class=\"nsp-main\" id=\"nsp-main-content\"><\/p>\n<div class=\"nsp-banner\">\n<p id=\"nsp-target-date\" class=\"nsp-sr-only\">October 19, 2026<\/p>\n<div class=\"nsp-banner-title\">Registration closes <strong>October 19, 2026<\/strong><\/div>\n<div id=\"nsp-countdown\" class=\"nsp-countdown\" aria-live=\"polite\"><\/div>\n<\/p><\/div>\n<section class=\"nsp-hero\">\n<figure class=\"nsp-hero-figure\">\n<div class=\"nsp-hero-img\" style=\"background-image:url('https:\/\/storage.googleapis.com\/nanoschool-in-website-wp-media-to-gcp-offload\/2026\/10\/689406c5-c9224affcefac51603c7e2b9cd750c3c.jpg');\">\n<div class=\"nsp-hero-label\">Mentor Based<\/div>\n<\/p><\/div>\n<\/figure>\n<div class=\"nsp-hero-body\">\n<h1 class=\"nsp-hero-title\">Computational Neurobiology with AI: Protein Dynamics, Biomarkers, Molecular Pathways &amp; Drug Discovery<\/h1>\n<p class=\"nsp-hero-excerpt\">From Protein Dysfunction to AI-Driven Biomarker Discovery and Therapeutic Design <\/p>\n<div class=\"nsp-hero-ctas\">\n<div class=\"nsp-hero-cta-group\">\n<a data-toggle=\"modal\" data-bs-toggle=\"modal\" data-target=\"#frm-modal-0\" data-bs-target=\"#frm-modal-0\" href=\"#\" class=\"nsp-btn nsp-btn--secondary nsp-enbtn\">Enroll Now<\/a><br \/>\n<a href=\"https:\/\/staging.nanoschool.in\/wp\/enroll-me\/?pid=NSTC3291&#038;be=Batch\" class=\"nsp-btn nsp-btn--secondary nsp-enbtn\">Batch Enrolment<\/a><a href=\"https:\/\/staging.nanoschool.in\/wp\/workshop\/\" class=\"nsp-btn nsp-btn--outline nsp-enbtn\">More Details<\/a>\n<\/div>\n<\/p><\/div>\n<div>\n                <\/div>\n<\/p><\/div>\n<\/section>\n<section class=\"nsp-meta\">\n<ul class=\"nsp-meta-list nsp-layout-3col\" style=\"padding:5px;\">\n<li><strong>Mode:<\/strong> Virtual \/ Online<\/li>\n<li><strong>Type:<\/strong> Mentor Based<\/li>\n<li><strong>Level:<\/strong> Moderate<\/li>\n<li><strong>Duration:<\/strong> 3Days(60-90 Min)<\/li>\n<li><strong>Starts:<\/strong> 19 October 2026<\/li>\n<li><strong>Time:<\/strong> 5:00 PM IST<\/li>\n<\/ul>\n<\/section>\n<section class=\"nsp-block\">\n<div class=\"nsp-split nsp-split--about\">\n<div class=\"nsp-split__content\">\n<h2>About This Course<\/h2>\n<div>\n<p>This three-day workshop introduces participants to computational and AI-driven approaches used to study neurological and neurodegenerative diseases. The program begins with protein structure, mutation effects, and disease-associated molecular changes, then progresses to transcriptomics, biomarker discovery, pathway enrichment, and network biology. Participants will finally explore therapeutic target identification, drug repurposing, molecular docking, ADMET assessment, and AI-assisted candidate prioritization through guided hands-on workflows.<\/p>\n<\/div><\/div>\n<\/p><\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Aim<\/h2>\n<div>\n<p>To provide participants with an integrated understanding of computational neurobiology by connecting protein-level disease mechanisms, biomarker discovery, pathway and network analysis, and AI-assisted therapeutic discovery for neurological and neurodegenerative disorders.<\/p>\n<\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Workshop Objectives<\/h2>\n<div>\n<ul>\n<li>Understand molecular and protein-level mechanisms associated with neurological disorders.<\/li>\n<li>Analyze disease-associated proteins, mutations, structural changes, and stability.<\/li>\n<li>Explore neurobiological datasets for biomarker discovery.<\/li>\n<li>Perform differential expression and disease-signature analysis.<\/li>\n<li>Apply pathway enrichment and network biology approaches.<\/li>\n<li>Identify hub genes, molecular drivers, and therapeutic targets.<\/li>\n<li>Use AI\/ML approaches for biomarker and disease-pattern analysis.<\/li>\n<li>Explore drug repurposing and computational compound screening.<\/li>\n<li>Evaluate drug candidates using docking, drug-likeness, and ADMET parameters.<\/li>\n<li>Integrate structural, omics, network, and drug-discovery evidence into a unified workflow.<\/li>\n<\/ul>\n<\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Workshop Structure<\/h2>\n<h2 data-pm-slice=\"1 1 &#091;]\">Day 1: Protein Dysfunction, Structural Dynamics &amp; Disease Mechanisms<\/h2>\n<ul>\n<li>Protein folding, misfolding, aggregation, and intrinsically disordered proteins in neurodegenerative disease.<\/li>\n<li>Disease-associated proteins in <strong>Alzheimer\u2019s disease, Parkinson\u2019s disease, ALS, and related disorders<\/strong>.<\/li>\n<li>Sequence, domain, and structural analysis using experimental and predicted protein information.<\/li>\n<li>Identification of <strong>disordered and aggregation-prone regions<\/strong>.<\/li>\n<li>Disease-associated variant interpretation and mutation-impact analysis.<\/li>\n<li>AlphaFold-based structure interpretation, confidence assessment, and limitations for intrinsically disordered proteins.<\/li>\n<li>Concepts of protein stability, conformational dynamics, oligomerization, and molecular dynamics.<\/li>\n<\/ul>\n<p><strong>Tools:<\/strong> <strong>UniProt, RCSB PDB, AlphaFold DB, ClinVar, AlphaMissense, IUPred2A\/AGGRESCAN, PyMOL\/ChimeraX<\/strong><\/p>\n<p><strong>Hands-on:<\/strong> Analyze a disease-associated protein for structural confidence, disorder and aggregation propensity, disease variants, and mutation-related effects.<\/p>\n<h2>Day 2: Candidate Biomarkers, Molecular Pathways &amp; Network Biology<\/h2>\n<ul>\n<li>Explore public neurobiology and neurodegenerative-disease transcriptomic datasets.<\/li>\n<li>Perform <strong>differential gene-expression analysis<\/strong> and identify disease-associated molecular signatures.<\/li>\n<li>Visualize disease patterns using <strong>PCA and UMAP<\/strong>.<\/li>\n<li>Perform functional enrichment and biological pathway analysis.<\/li>\n<li>Build <strong>protein\u2013protein interaction networks<\/strong> and identify hub genes and molecular drivers.<\/li>\n<li>Prioritize <strong>candidate biomarkers<\/strong> using statistical and biological evidence.<\/li>\n<li>Apply machine-learning approaches such as <strong>Random Forest\/XGBoost<\/strong> for biomarker ranking.<\/li>\n<li>Interpret important predictors using <strong>SHAP concepts<\/strong>.<\/li>\n<li>Overview of single-cell transcriptomics and its applications in neurological disease research.<\/li>\n<\/ul>\n<p><strong>Tools:<\/strong> <strong>GEO, GEO2R\/DESeq2, Python\/R, pandas, scikit-learn, UMAP, Enrichr, STRING, Cytoscape, XGBoost, SHAP<\/strong><\/p>\n<p><strong>Hands-on:<\/strong> Identify differentially expressed genes, enriched pathways, network hubs, and ML-ranked candidate biomarkers from a neurobiology dataset.<\/p>\n<h2>Day 3: Therapeutic Target Prioritization &amp; AI-Assisted Drug Discovery<\/h2>\n<ul>\n<li>Translate protein, transcriptomic, pathway, and network evidence into <strong>therapeutic target candidates<\/strong>.<\/li>\n<li>Prioritize structurally suitable and biologically relevant drug targets.<\/li>\n<li>Retrieve and evaluate known compounds for <strong>drug repurposing and small-scale computational screening<\/strong>.<\/li>\n<li>Analyze drug\u2013target interactions and molecular descriptors.<\/li>\n<li>Assess drug-likeness and pharmacokinetic properties.<\/li>\n<li>Perform <strong>ADMET prediction<\/strong> for candidate compounds.<\/li>\n<li>Conduct molecular docking using structurally characterized targets.<\/li>\n<li>Analyze binding interactions and docking poses.<\/li>\n<li>Integrate docking, ADMET, molecular descriptors, and biological evidence for candidate ranking.<\/li>\n<li>Apply AI-assisted approaches for therapeutic-candidate prioritization.<\/li>\n<\/ul>\n<p><strong>Tools:<\/strong> <strong>RCSB PDB, PubChem, ChEMBL\/BindingDB, AutoDock Vina or CB-Dock2, PyMOL, SwissADME, Python<\/strong><\/p>\n<p><strong>Hands-on:<\/strong> Prioritize a therapeutic target, screen selected compounds, evaluate docking and ADMET results, and rank candidate therapeutics using integrated computational evidence.<\/p>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Who Should Enrol?<\/h2>\n<div>\n<ul>\n<li>Biotechnology and Life Sciences students<\/li>\n<li>Neuroscience and Neurobiology researchers<\/li>\n<li>Bioinformatics and Computational Biology learners<\/li>\n<li>Molecular Biology and Biochemistry researchers<\/li>\n<li>Pharmacology and Drug Discovery researchers<\/li>\n<li>Biomedical Science students and professionals<\/li>\n<li>Genetics and Genomics researchers<\/li>\n<li>Pharmaceutical Sciences students<\/li>\n<li>PhD scholars and postdoctoral researchers<\/li>\n<li>Faculty members and research professionals<\/li>\n<\/ul>\n<\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Important Dates<\/h2>\n<div class=\"nsp-date-grid nsp-layout-2col\">\n<div class=\"nsp-date-card\">\n<h3>Registration Ends<\/h3>\n<p>October 19, 2026<br \/><small>IST 4:30 PM<\/small><\/p>\n<\/p><\/div>\n<div class=\"nsp-date-card\">\n<h3>Workshop Dates<\/h3>\n<p>October 19, 2026 \u2013 October 21, 2026<br \/><small>IST 5:00 PM<\/small><\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Workshop Outcomes<\/h2>\n<div>\n<ul data-start=\"2170\" data-end=\"2788\">\n<li>Analyze disease-associated proteins and structural alterations.<\/li>\n<li>Interpret mutation and protein-stability predictions.<\/li>\n<li>Identify candidate biomarkers from neurobiological datasets.<\/li>\n<li>Perform pathway enrichment and protein\u2013protein interaction analysis.<\/li>\n<li>Recognize key disease-associated genes, proteins, and molecular pathways.<\/li>\n<li>Apply basic machine-learning approaches for biomarker prioritization.<\/li>\n<li>Identify and prioritize potential therapeutic targets.<\/li>\n<li>Retrieve and evaluate candidate compounds for neurological disorders.<\/li>\n<li>Perform basic molecular docking and interaction analysis.<\/li>\n<li>Assess drug-likeness and ADMET properties.<\/li>\n<li>Build an integrated workflow from <strong>disease mechanism to biomarker, therapeutic target, and drug candidate prioritization<\/strong>.<\/li>\n<\/ul>\n<\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>Fee Structure<\/h2>\n<div class=\"nsp-fee-grid nsp-layout-2col\">\n<div class=\"nsp-fee-card\">\n<h3>Student Fee<\/h3>\n<p>\u20b92499 | $65<\/p>\n<\/p><\/div>\n<div class=\"nsp-fee-card\">\n<h3>Ph.D. Scholar \/ Researcher Fee<\/h3>\n<p>\u20b93499 | $75<\/p>\n<\/p><\/div>\n<div class=\"nsp-fee-card\">\n<h3>Academician \/ Faculty Fee<\/h3>\n<p>\u20b94499 | $85<\/p>\n<\/p><\/div>\n<div class=\"nsp-fee-card\">\n<h3>Industry Professional Fee<\/h3>\n<p>\u20b95499 | $105<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<section class=\"nsp-block\">\n<h2>What You&#8217;ll Gain<\/h2>\n<div class=\"nsp-takeaways nsp-layout-2col\">\n<div>\n<ul class=\"nsp-takeaways-list\">\n<li>Live &#038; recorded sessions<\/li>\n<li>e-Certificate upon completion<\/li>\n<li>Post-workshop query support<\/li>\n<li>Hands-on learning experience<\/li>\n<\/ul><\/div>\n<div>\n<div class=\"nsp-cert-preview\"\n                        style=\"background-image:url('https:\/\/staging.nanoschool.in\/wp\/wp-content\/uploads\/2024\/05\/certificate-in-web-2.webp')\">\n                    <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<section class=\"nsp-support\">\n<div class=\"nsp-support-box\">\n<h3>Need Help?<\/h3>\n<p>We&#8217;re here for you!<\/p>\n<p>                <a href=\"tel:+911204781217\" class=\"nsp-support-tel\"><br \/>\n                    <span class=\"nsp-icon\"><\/span> (+91) 120-4781-217<br \/>\n                <\/a>\n            <\/div>\n<\/section>\n<section class=\"nsp-feedback\">\n<p>            <div style=\"all:initial!important;display:grid!important;grid-template-columns:repeat(auto-fit,minmax(250px,1fr))!important;gap:22px!important;max-width:1280px!important;margin:0 auto!important;padding:18px!important;background:#f4f6fb!important;border:1px solid #e9ecf7!important;border-radius:18px!important;box-sizing:border-box!important;isolation:isolate!important\" aria-label=\"AI Courses Grid\"><div class=\"frm_grid_container\"><div class=\"frm12\" style=\"border-color: #ffffff;background-color: #ffffff;\"><div style=\"all:initial!important;display:flex!important;flex-wrap:wrap!important;gap:18px!important;justify-content:center!important;align-items:stretch!important;width:100%!important;max-width:1200px!important;margin:0 auto!important;padding:14px!important;background:#f8fafc!important;border:1px solid #eef2f7!important;border-radius:12px!important;box-sizing:border-box!important;\" aria-label=\"Testimonial Section\"> <div style=\"all:initial!important;flex:0 1 320px!important;width:auto!important;background:#ffffff!important;border:1px solid #e5e7eb!important;border-radius:12px!important;box-shadow:0 6px 18px rgba(15,23,42,.06)!important;padding:16px 18px!important;color:#0f172a!important;font:400 14px\/1.55 system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif!important;text-align:left!important;transition:transform .2s ease, box-shadow .2s ease, border-color .2s ease!important;box-sizing:border-box!important;\" role=\"listitem\"> <div style=\"all:initial!important;line-height:1!important;\"> <span style=\"all:initial!important;font-size:18px!important;color:#f59e0b!important;fill:currentColor!important;vertical-align:middle!important;\">\u2605\u2605\u2605\u2605\u2605<\/span> <\/div> <div style=\"all:initial!important;display:flex!important;align-items:center!important;justify-content:space-between!important;gap:10px!important;margin-bottom:8px!important;\"> <strong style=\"all:initial!important;color:#0f172a!important;font-weight:700!important;font-size:16px!important;\">Cancer Drug Discovery: Creating Cancer Therapies<\/strong> <\/div> <span style=\"all:initial!important;display:block!important;margin-top:6px!important;color:#334155!important;font-size:14px!important;max-height:80px !important;overflow:hidden!important;text-overflow:ellipsis!important;\" aria-label=\"Testimonial Content: <p>Undoubtedly, the professor's expertise was evident, and their ability to cover a vast amount of material within the given timeframe was impressive. However, the pace at which the content was presented made it challenging for some attendees, including myself, to fully grasp and absorb the information.<\/p>\n\"><p>Undoubtedly, the professor's expertise was evident, and their ability to cover a vast amount of material within the given timeframe was impressive. However, the pace at which the content was presented made it challenging for some attendees, including myself, to fully grasp and absorb the information.<\/p>\n<\/span> <span style=\"all:initial!important;display:block!important;margin-top:10px!important;font-size:12px!important;color:#64748b!important;\"> <span aria-label=\"Testimonial Author: Mario Rigo\" style=\"all:initial!important;\">Mario Rigo<\/span> \u2022 <time style=\"all:initial!important;\" datetime=\"November 30, 2023 at 5:18 pm\">November 30, 2023 at 5:18 pm<\/time><\/span><\/div><\/div>\n<\/div><\/div><div class=\"frm_grid_container\"><div class=\"frm12\" style=\"border-color: #ffffff;background-color: #ffffff;\"><div style=\"all:initial!important;display:flex!important;flex-wrap:wrap!important;gap:18px!important;justify-content:center!important;align-items:stretch!important;width:100%!important;max-width:1200px!important;margin:0 auto!important;padding:14px!important;background:#f8fafc!important;border:1px solid #eef2f7!important;border-radius:12px!important;box-sizing:border-box!important;\" aria-label=\"Testimonial Section\"> <div style=\"all:initial!important;flex:0 1 320px!important;width:auto!important;background:#ffffff!important;border:1px solid #e5e7eb!important;border-radius:12px!important;box-shadow:0 6px 18px rgba(15,23,42,.06)!important;padding:16px 18px!important;color:#0f172a!important;font:400 14px\/1.55 system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif!important;text-align:left!important;transition:transform .2s ease, box-shadow .2s ease, border-color .2s ease!important;box-sizing:border-box!important;\" role=\"listitem\"> <div style=\"all:initial!important;line-height:1!important;\"> <span style=\"all:initial!important;font-size:18px!important;color:#f59e0b!important;fill:currentColor!important;vertical-align:middle!important;\">\u2605\u2605\u2605\u2605\u2605<\/span> <\/div> <div style=\"all:initial!important;display:flex!important;align-items:center!important;justify-content:space-between!important;gap:10px!important;margin-bottom:8px!important;\"> <strong style=\"all:initial!important;color:#0f172a!important;font-weight:700!important;font-size:16px!important;\">Power BI and Advanced SQL Mastery Integration Workshop, CRISPR-Cas Genome Editing: Workflow, Tools and Techniques<\/strong> <\/div> <span style=\"all:initial!important;display:block!important;margin-top:6px!important;color:#334155!important;font-size:14px!important;max-height:80px !important;overflow:hidden!important;text-overflow:ellipsis!important;\" aria-label=\"Testimonial Content: <p>Good! 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Thank you<\/p>\n<\/span> <span style=\"all:initial!important;display:block!important;margin-top:10px!important;font-size:12px!important;color:#64748b!important;\"> <span aria-label=\"Testimonial Author: Silvia Santopolo\" style=\"all:initial!important;\">Silvia Santopolo<\/span> \u2022 <time style=\"all:initial!important;\" datetime=\"December 5, 2023 at 4:01 pm\">December 5, 2023 at 4:01 pm<\/time><\/span><\/div><\/div>\n<\/div><\/div><div class=\"frm_grid_container\"><div class=\"frm12\" style=\"border-color: #ffffff;background-color: #ffffff;\"><div style=\"all:initial!important;display:flex!important;flex-wrap:wrap!important;gap:18px!important;justify-content:center!important;align-items:stretch!important;width:100%!important;max-width:1200px!important;margin:0 auto!important;padding:14px!important;background:#f8fafc!important;border:1px solid #eef2f7!important;border-radius:12px!important;box-sizing:border-box!important;\" aria-label=\"Testimonial Section\"> <div style=\"all:initial!important;flex:0 1 320px!important;width:auto!important;background:#ffffff!important;border:1px solid #e5e7eb!important;border-radius:12px!important;box-shadow:0 6px 18px rgba(15,23,42,.06)!important;padding:16px 18px!important;color:#0f172a!important;font:400 14px\/1.55 system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif!important;text-align:left!important;transition:transform .2s ease, box-shadow .2s ease, border-color .2s ease!important;box-sizing:border-box!important;\" role=\"listitem\"> <div style=\"all:initial!important;line-height:1!important;\"> <span style=\"all:initial!important;font-size:18px!important;color:#f59e0b!important;fill:currentColor!important;vertical-align:middle!important;\">\u2605\u2605\u2605\u2605\u2605<\/span> <\/div> <div style=\"all:initial!important;display:flex!important;align-items:center!important;justify-content:space-between!important;gap:10px!important;margin-bottom:8px!important;\"> <strong 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#ffffff;background-color: #ffffff;\"><div style=\"all:initial!important;display:flex!important;flex-wrap:wrap!important;gap:18px!important;justify-content:center!important;align-items:stretch!important;width:100%!important;max-width:1200px!important;margin:0 auto!important;padding:14px!important;background:#f8fafc!important;border:1px solid #eef2f7!important;border-radius:12px!important;box-sizing:border-box!important;\" aria-label=\"Testimonial Section\"> <div style=\"all:initial!important;flex:0 1 320px!important;width:auto!important;background:#ffffff!important;border:1px solid #e5e7eb!important;border-radius:12px!important;box-shadow:0 6px 18px rgba(15,23,42,.06)!important;padding:16px 18px!important;color:#0f172a!important;font:400 14px\/1.55 system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif!important;text-align:left!important;transition:transform .2s ease, box-shadow .2s ease, border-color .2s ease!important;box-sizing:border-box!important;\" role=\"listitem\"> <div style=\"all:initial!important;line-height:1!important;\"> <span style=\"all:initial!important;font-size:18px!important;color:#f59e0b!important;fill:currentColor!important;vertical-align:middle!important;\">\u2605\u2605\u2605\u2605\u2605<\/span> <\/div> <div style=\"all:initial!important;display:flex!important;align-items:center!important;justify-content:space-between!important;gap:10px!important;margin-bottom:8px!important;\"> <strong style=\"all:initial!important;color:#0f172a!important;font-weight:700!important;font-size:16px!important;\">Artificial Intelligence for Cancer Drug Delivery<\/strong> <\/div> <span style=\"all:initial!important;display:block!important;margin-top:6px!important;color:#334155!important;font-size:14px!important;max-height:80px !important;overflow:hidden!important;text-overflow:ellipsis!important;\" aria-label=\"Testimonial Content: <p>delt with all the topics associated with the subject matter<\/p>\n\"><p>delt with all the topics associated with the subject matter<\/p>\n<\/span> <span style=\"all:initial!important;display:block!important;margin-top:10px!important;font-size:12px!important;color:#64748b!important;\"> <span aria-label=\"Testimonial Author: RAVIKANT SHEKHAR\" style=\"all:initial!important;\">RAVIKANT SHEKHAR<\/span> \u2022 <time style=\"all:initial!important;\" datetime=\"February 7, 2024 at 11:01 pm\">February 7, 2024 at 11:01 pm<\/time><\/span><\/div><\/div>\n<\/div><\/div><\/div>\n<br \/>\n            <a href=\"https:\/\/staging.nanoschool.in\/wp\/nstc\/feedback-view\/\" class=\"nsp-view-all\">View All Feedbacks \u2192<\/a><br \/>\n        <\/section>\n<p>    <\/main><\/p>\n<div class=\"nsp-sticky\">\n<p>        <a href=\"https:\/\/staging.nanoschool.in\/wp\/enroll-me\/?pid=NSTC3291\" class=\"nsp-btn nsp-btn--sticky nsp-btn--primary\">Enrol<br \/>\n            Now<\/a><br \/>\n        <a href=\"https:\/\/staging.nanoschool.in\/wp\/workshop\/\" class=\"nsp-btn nsp-btn--sticky nsp-btn--outline\">Explore<\/a><\/p><\/div>\n<style>\n        .nsp-isolated-wrapper {\n            all: initial;\n            display: block;\n            font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;\n            font-size: clamp(14px, 1.6vw, 16px);\n            line-height: 1.6;\n            color: #334155;\n            background-color: #f1f5f9;\n            margin: 0;\n            padding: 0;\n            box-sizing: border-box;\n            overflow-x: hidden;\n            word-wrap: break-word\n        }\n        .nsp-isolated-wrapper *,\n        .nsp-isolated-wrapper *::before,\n        .nsp-isolated-wrapper *::after {\n            box-sizing: inherit\n        }\n        .nsp-isolated-wrapper h1,\n        .nsp-isolated-wrapper h2,\n        .nsp-isolated-wrapper h3,\n        .nsp-isolated-wrapper h4,\n        .nsp-isolated-wrapper h5,\n        .nsp-isolated-wrapper h6 {\n          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