PIB Summaries 31 December 2025
Content 2025 Economic Reforms PathGennie – “Fast-Tracks” drug discovery 2025 Economic Reforms Why in News ? The Government rolled out a consolidated package of economic reforms in 2025 focused on: outcome-driven governance simplification of systems inclusive and employment-centric growth Reforms spanned taxation, GST, labour, MSMEs, exports, rural employment and ease-of-doing-business. Relevance GS-III | Economy, Growth & Inclusive Development Growth-oriented reforms — tax rationalisation, GST 2.0, MSME expansion, export promotion Formalisation + productivity gains via labour codes & digital compliance Rural livelihoods + asset-creation through VB-GRAM (125-day guarantee) Fiscal stability — wider tax base, predictable revenues, ease of doing business MSME-led employment, startup competitiveness, credit enablement Big Picture — Reform Philosophy Shift from rule-heavy regulation → outcome-based governance. Emphasis on: simplification, predictability, digitalisation, compliance reduction trust-based administration and fiscal stability enabling youth, women, MSMEs, gig workers, rural households Key Reform Pillars — Facts & Data 1) Direct Tax & New Income Tax Act, 2025 Income up to ₹12 lakh exempt in new regime Effective exemption ₹12.75 lakh for salaried (incl. standard deduction). Comprehensive rewrite of 1961 Act with: textual simplification, removal of obsolete clauses continuity in tax policy & rates Unified “Tax Year” replaces AY/PY — reduces ambiguity. Digital-first enforcement, faceless administration, unified TDS framework. Likely Outcomes Higher disposable income → consumption multiplier Reduced litigation, clarity for taxpayers Improved compliance through digital systems 2) Labour Reforms — Four Labour Codes 29 laws consolidated into 4 Codes (Wages, IR, Social Security, OSH & Working Conditions) Coverage extended to: gig & platform workers (~1 crore+ beneficiaries) women workers — improved leave, maternity & safety Uniform wage definition, simplification of dispute settlement. Structural Impact Single framework for 50+ crore workers Moves labour regulation towards flexibility + protection Supports formalisation & workforce security 3) Rural Employment Reforms — VB-GRAM Act, 2025 Replaces MGNREGA with integrated livelihood framework. Guarantee: 125 days paid work/household/year Timely wage payment: weekly / ≤15 days Asset creation focus — water, climate-resilient works, rural infra, livelihoods Decentralised planning via VGPPs + digital convergence (PM Gati Shakti) Admin expenditure ceiling raised to 9% to strengthen delivery. Development Logic Aligns rural employment with productive capital formation Balances farm labour availability + worker security Enhances local planning capacity 4) Ease of Doing Business & MSME Support MSME-friendly QCO roll-out (phased, exemptions, legacy stock clearance). Credit & liquidity measures: MCGS cover up to ₹100 crore collateral-free loans up to ₹10 lakh working capital: ≥20% of projected turnover (≤₹5 crore limits) MSME definition revised: Micro: ₹2.5 cr / ₹10 cr Small: ₹25 cr / ₹100 cr Medium: ₹125 cr / ₹500 cr Credit-guarantee limit doubled ₹5 cr → ₹10 cr Expected Gains Scale expansion, formal credit penetration Export & startup competitiveness Employment generation in manufacturing & services 5) GST 2.0 — Next-Generation GST Two-slab regime: 5% & 18% Rate rationalisation lowers cost of essentials & services. Faster refunds, simpler registration, MSME-friendly compliance. Taxpayer base expanded to 1.5 crore+ Gross GST collections FY 2024-25: ₹22.08 lakh crore Macroeconomic Effects Reduced classification disputes & compliance burden Boost to consumption and business confidence Improved revenue predictability + fiscal stability 6) Export Promotion Mission (EPM) — ₹25,060 crore (2025-31) Unified architecture replacing fragmented schemes. Two pillars: Niryat Protsahan — finance, credit enhancement Niryat Disha — compliance, branding, logistics, market access Focus on: MSMEs, first-time exporters, non-traditional districts jobs in manufacturing & logistics Strategic Objective Build district-export ecosystems Position India for competitive, inclusive export growth toward 2047 7) Other Trade & Process Reforms Digital trade stack — National Single Window, ICEGATE, Trade Connect D-BRAP 2025 — decentralised approvals & inspections GeM & MSME-SAMBANDH — deeper MSME procurement linkages ₹58,000 crore disbursed under RoDTEP (till March 2025) Strengths & Risks Strengths Coherent reform sequencing (tax → labour → MSME → exports) Administrative simplification → lower transaction costs Inclusion of gig workers, women, rural households Outcome-orientation → assets, productivity, formalisation Risks Labour code rollout dependent on state rules & capacity GST two-rate system still needs fitment clarity in edge sectors Rural employment redesign must avoid under-funding or delays MSME expansion needs market access + productivity upgrading, not just credit Takeaways Income-tax exemption (new regime): up to ₹12 lakh (₹12.75 lakh salaried) GST taxpayer base: 1.5 crore+ | FY25 GST: ₹22.08 lakh crore Rural guarantee: 125 days work | admin cap 6% → 9% Labour coverage: 50+ crore workers | gig workers ~1 crore+ EPM outlay: ₹25,060 crore (2025-31) MSME thresholds: Micro ₹2.5cr/₹10cr | Small ₹25cr/₹100cr | Medium ₹125cr/₹500cr PathGennie – “Fast-Tracks” drug discovery Why in News ? Scientists at S. N. Bose National Centre for Basic Sciences, Kolkata (DST institute) developed PathGennie, a novel open-source computational framework. It accelerates simulation of rare molecular events and enables accurate prediction of drug–protein unbinding pathways without distorting physics. Published in Journal of Chemical Theory and Computation—relevant to drug discovery, molecular simulations, AI-integrated chemistry and biotech innovation. Relevance GS-III | Science & Technology, Biotechnology & Innovation Frontier research in computational chemistry & molecular simulation Strengthens Computer-Aided Drug Discovery (CADD) capabilities Direction-Guided Adaptive Sampling — rare-event modelling breakthrough Reduces cost, time, distortion in drug–protein unbinding predictions GS-III | Health, Pharma R&D & Indigenous Tech Capacity Improves drug design pipelines, residence-time analysis, resistance-pathway mapping Supports domestic pharma innovation, precision therapeutics, R&D localisation Aligns with Make in India (Pharma) & Deep-Tech missions Scientific Context — The Problem In drug discovery, residence time (how long a drug stays bound) is often more important than binding affinity. Unbinding events are rare — occur over milliseconds to seconds. Classical Molecular Dynamics (MD) cannot simulate these time-scales even on supercomputers. Existing methods force events using: bias forces high temperature artificial steering These distort true kinetic pathways → unreliable predictions. What PathGennie Does ? — Core Idea Introduces Direction-Guided Adaptive Sampling. Mimics natural selection at the molecular scale. Uses many ultrashort unbiased MD trajectories (few femtoseconds). Only those trajectories showing progress toward the target state are extended. Non-productive trajectories are discarded → “survival-of-the-fittest” simulations. Result Captures true, undistorted transition pathways Achieves faster discovery of rare molecular events without biasing forces. How It Works ? — Mechanism (Step-wise) Launch multiple micro-trajectories in molecular configuration space. Evaluate movement in chosen Collective Variables (CVs) — descriptors of progress. Exploration + Exploitation balance: extend promising paths prune unproductive ones Iteratively reconstruct complete transition pathways across high-energy barriers. Works even in high-dimensional / machine-learned CV spaces. Evidence & Demonstrations (Proof-of-Concept) Team: Prof. Suman Chakrabarty, Dibyendu Maity, Shaheerah Shahid Validated on benchmark systems: Benzene–T4 lysozyme → mapped multiple ligand exit routes Imatinib (Gleevec)–Abl kinase → detected three dissociation pathways Recovered experimentally-known mechanisms → confirms accuracy without biasing forces. Why It Matters ?— Impact on Drug Discovery Enables accurate residence-time modelling Reduces: computational cost simulation time pathway distortion Strengthens Computer-Aided Drug Discovery (CADD) pipelines. Helps identify: drug escape routes off-pathway binding / resistance pathways molecule stability under physiological motion Broader Scientific Applications Rare-event simulations in: chemical reactions & catalysis phase transitions self-assembly processes biomolecular conformational changes Compatible with machine-learning–derived order parameters. Open-source → lowers adoption barrier for global research labs. Strategic & National Significance Strengthens India’s computational chemistry & pharma innovation ecosystem. Supports: AI-enabled science drug design localization cost-efficient R&D Aligns with: Make in India – Pharmaceuticals Deep-tech & research translation missions Facts & Data Institution: S. N. Bose National Centre for Basic Sciences, Kolkata (DST) Tool: PathGennie — open-source computational framework Domain: Rare-event molecular simulations / CADD Key innovation: Direction-Guided Adaptive Sampling Output: Unbinding pathways without external bias Validated on: T4 lysozyme–benzene, Imatinib–Abl kinase