01
Trajectory & Conformation Analysis
The Computational Framework Behind AMRA-Lab
We explore molecular systems from atoms to biomolecular complexes, enabling precise simulation, analysis, and medicinal chemistry-based drug design.
This chemistry-first approach ensures accurate modeling across solvents, interfaces, and complex biological environments
Advanced Molecular Dynamics
Conventional, SMD, Umbrella Sampling, Enhanced Sampling
Metalloprotein Simulation
Metal centers, active sites, coordination analysis
Virtual Screening
Ligand library, ranking, hit identification
Docking
Protein–Drug, Protein–Protein, Covalent Docking
Quantum Chemistry
DFT, molecular orbitals, electronic properties
Binding Free Energy
MMPBSA / MMGBSA & Umbrella Sampling
Trajectory Analysis
RMSD, RMSF, Rg, SASA, H-bond analysis
Membrane Physics
Lipid bilayer, membrane protein, diffusion analysis
Metadynamics Simulation
Free energy surface, CVs, enhanced sampling
ADMET Analysis
Absorption, distribution, metabolism, toxicity
Solvent Simulation
Surfactants, Ionic Liquids, DES
Drug / Peptide Design
Lead optimization, peptide modeling, interaction design
Publication-Quality Plotting
Scientific graphs, figures, journal-ready visualization
Alanine Scanning
Mutation analysis, residue contribution, decomposition
Secondary Structure Analysis
DSSP, alpha helix, beta sheet, folding pattern
Project / Thesis & Poster Design
Literature review, methodology, analysis, thesis plan
Learning Support
Any topic you want to learn
Advanced Analysis
Top-tier journal level
Long-Term Project Support
You can hire us for long-term projects
Choose Your Premium Training Pathway
Explore premium AMRA-Lab learning pathways spanning molecular dynamics, peptide design, docking, ADMET, quantum chemistry, AI-powered CADD, structure prediction and research-support platforms.
GM
GROMACS
Complete open-source MD workflow
DS
Desmond
Schrödinger simulation platform
YS
YASARA
Modeling and dynamics suite
PA
Post-MD Analysis
Stability, energetics and publication plots
SM
Solvent & Membrane Simulation
Solvent behavior, ions, lipids and membrane workflows
FE
Free Energy
MM/PBSA and enhanced sampling
01
Molecular Dynamics Simulations
Learn system preparation, force-field selection, simulation setup, trajectory processing, advanced sampling, binding-energy analysis, literature review, professional certification and publication-quality interpretation with future project design guidelines.
Ongoing Session
Contact AMRA-Lab
Join the active mentorship or cohort batch.
Molecular Simulation Workflows
Explore Simulation Services
Select a workflow to view a focused scientific figure, project purpose and core outputs.
Self-Contained HTMLImages remain visible after pasting the code.
Responsive LayoutDesktop, tablet and mobile optimized.
White Premium BackgroundClean scientific style with soft cyan highlights.
One Project LinkEvery service opens the AMRA-Lab AID page.
Computational Insights
Computational Analysis
Advanced molecular simulations, structural insights and computational biology analyses to accelerate your research and discovery.
Publication-QualityHigh-quality figures and interpretation
Reproducible WorkflowsStandardized and validated protocols
Advanced ToolsState-of-the-art software and methodologies
Expert SupportGuidance from experienced computational scientists
Custom SolutionsTailored analysis for your research needs
AMRA-LAB's Research & Learning Support
Choose your target one & build a stronger article with the right research approach
Upcoming & On-going Research Project
Upcoming Research Project to feed your brain.
View All
23
Feb
Computational Assessment of Environmental Soil Pollution, Contaminant Mobility and Ecotoxicity Risk
Environmental soil pollution research using contaminant adsorption, heavy metal mobility, pesticide transport, microplastic interaction, and ecotoxicity risk analysis.
30
Aug
Quantum Mechanics & MD Study of Urea Solvent Impact on Fungal Toxin Stability and Poisoning Risk
Computational analysis of urea–water solvent effects on fungal toxin behavior using molecular dynamics, solvation free energy, hydrogen bonding, and toxicity assessment.
29
Nov
Computational Discovery of Anti-Tuberculosis Inhibitors Targeting Essential Mycobacterial Proteins
Anti-TB inhibitor discovery using docking, molecular dynamics, MM/GBSA, ADMET, and resistance-focused target analysis.
01
Dec
AI-Guided Pan-Cancer Target Discovery and Molecular Dynamics-Based Lead Optimization
Computational cancer drug discovery using docking, molecular dynamics, binding free energy, ADMET, and lead optimization.
30
Dec
Structure-Based Antiviral Discovery Against Dengue and Emerging Viral Protein Targets
Antiviral drug discovery for dengue and emerging viruses using docking, MD simulation, DFT, MM/GBSA and ADMET.
Top Tier Journal Featured Analysis
Advanced Molecular Simulation and Computational Biology & Bio-informatics Insights.
AMRA-LAB Research Direction
Mission & Vision
Computational-first discovery with AI & Machine Learning innovation, wet-lab validation thinking, and patent-aware translational pathways.
Our Mission
To discover promising drug compounds and build research protocols, AI/ML models, and computational tools through accurate in silico analysis—preparing the strongest findings for wet-lab validation, publication, and patent-ready development.
Our Vision
We envision AMRA-LAB as a global bridge between computational and real-world therapeutic innovation—integrating AI, molecular modeling, biosafety-aware wet-lab validation, synthesis, patent development, and clinical collaboration to create future treatments for diseases that remain difficult or impossible to cure today.
AI/ML & In Silico Discovery
→
Protocol & Tool Innovation
→
Wet-Lab Validation
→
Patent-Ready Drugs
→
Clinical Trial-Oriented Future
Who Can Join AMRA-LAB?
Students, graduates, researchers, and professionals from life science and biomedical backgrounds can join our research training programs.
What People Say About AMRA-LAB
How real scientist experienced our Research Aid ?
Subscribe now and receive weekly newsletter with educational materials, new courses, interesting posts, Coupons, popular books and much more!