ANN Analysis

Aligning two ligands in molecular docking involves positioning them optimally within the binding site of a target protein to assess their interactions. This process aims to predict their binding affinities and interactions, crucial for drug design and discovery.💊

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When it comes to showcasing your molecular marvels in publications, consider these prime PyMOL representations:

Cartoon 🎭: Elegant and widely favored for proteins, providing a clear depiction of secondary structures. Perfect for publications aiming for a visually appealing and informative presentation.

Surface 🌊: Ideal for emphasizing molecular shapes and. Enhances the 3D perception, making it an excellent choice for intricate structures.

Ribbon 🎀: Strikes a balance between simplicity and detail, showcasing secondary structures with grace. Often preferred for proteins in scientific publications.

Other Useful representations include:
Sticks 📌: Highlighting bonds with simplicity, ideal for structural clarity.
Mesh 🕸️: Intricate network revealing the detailed connectivity of atoms.
Lines ➖: Streamlined depiction, perfect for emphasizing molecular pathways.
Dots 🔵: Pinpoint precision, emphasizing atom locations in space.

Remember, the choice depends on the nature of your molecular content and the story you want to tell. Experiment and find the representation that perfectly conveys your research findings! 🚀🔬

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Confused by a protein lacking a crystal structure? Let ANN Analysis be your solution. We'll complete the puzzle and perform Multiple Sequence Alignment, unraveling the details of your protein with precision. 🔍🧩

In a research paper, the importance of incorporating molecular dynamics (MD) lies in its ability to provide dynamic insights into the behavior of molecules over time. Here are some advantages of Molecular Dynamics in research:

1) Dynamic Molecular Understanding: MD simulations offer a dynamic view of molecular structures, enabling researchers to observe how molecules move, interact, and change over time.

2) Predicting Behavior: MD allows the prediction of molecular behavior under various conditions, aiding in understanding reactions, stability, and the impact of external factors.

3) Drug Design and Discovery: In the field of drug discovery, MD simulations help predict how potential drugs interact with target proteins, optimizing the design process and reducing the need for extensive laboratory testing.

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Our services
• Docking
• Homology Modeling
• Sequence/ Multiple sequence Alignment
• Network stablishmed and analysis
• Molecular Dynamics
• Pymol figures generation
• In silico Pharmacokinetics prediction
• Statistical analysis
• PrismGraphPad
• English Proofreading
• Paraphrasing
• Citation and References
• Plagiarism checking
• Plagiarism correction

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A target protein, also known as a receptor, serves as the primary site for ligand binding.

In the context of molecular interactions, a receptor is a specific protein or molecule within a cell that is designed to interact with and bind to other molecules known as ligands.

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Ligand can be considered as the molecule that can bind to biological protein or receptor in our body 💡

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Advantages of Molecular docking🤔:

•Drug Discovery: Molecular docking is widely used in the early stages of drug discovery to identify potential drug candidates. It allows researchers to predict how a small molecule (drug candidate) will interact with a specific target protein (often a disease-related protein). This information is essential for selecting promising compounds for further experimental testing.

•Understanding Binding Mechanisms: Docking studies provide insights into the binding modes and interactions between ligands and receptors. This information is valuable for understanding the structural basis of protein-ligand interactions, which can lead to the development of more effective drugs and therapies.

•Structure-Based Drug Design: Molecular docking is a key component of structure-based drug design (SBDD). In SBDD, the 3D structure of a target protein is used to design new ligands or optimize existing ones to improve their binding affinity and selectivity.

•Predicting Binding Affinities: Docking simulations can estimate the binding affinity (the strength of the interaction) between a ligand and a receptor. This helps prioritize ligands for experimental testing and optimization.

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Virtual screening speeds up the early stages of drug development, saving time and resources by narrowing down the most promising compounds for further investigation.

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Ever wondered how we identify potential drug candidates without setting foot in a lab? That's where virtual screening steps in! 💊💻

🔬 What is Virtual Screening?
It's like a high-tech filter that analyzes vast databases of chemical compounds. By using powerful software and simulations, it helps pinpoint promising drug candidates that could bind to specific disease-related proteins

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Molecular docking is a crucial technique in computational biology and drug discovery💊. It plays a vital role in understanding the interactions between molecules, especially between small molecules (ligands) and target proteins (receptors).

If you want to know more about ligand- protein interactions, follow us and stay tuned 😎.

If you want to perform Molecular Docking as a part of your research, then ANN analysis is your choice 🤓🤩.

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ANN Analysis: Your Research's Trusted Companion.

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The Fundamental Principles of Molecular Dynamics (MD) 🧬⏳*Episode 1*

Molecular Dynamics is a computational technique that simulates the behavior of atoms and molecules over time. At its core, MD is governed by several fundamental principles, 4 of them will be tackled in this post throughout our Molecular Dynamics series.

Newton's Equations of Motion: MD relies on Newton's second law of motion to track the movement of particles. It calculates the forces acting on each atom or molecule based on the interactions with neighboring particles and applies Newton's equations to predict their trajectories.

Force Fields: Force fields are mathematical models that describe the potential energy and forces between particles. These models incorporate parameters for bond lengths, angles, and dihedral angles, as well as non-covalent interactions like van der Waals forces and electrostatic interactions.

Integration Algorithm: MD simulations use numerical integration methods, such as the Verlet algorithm, to update particle positions and velocities at discrete time intervals. This allows the simulation to predict the positions and velocities of particles at each time step.

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Take a closer look at our services in the picture below💡

🔒 Save this image for future reference and feel free to DM us with any questions or to get started on your academic journey!📔

Your path to academic excellence starts here. 🌐📊🎓

Importance of citations *part 2*

•Building on Knowledge: Citations offer a pathway for others to explore related research, fostering the growth of knowledge in your field.

•Respect for Intellectual Property: They demonstrate respect for intellectual property and copyright laws by properly attributing the source.

•Academic Integrity: Proper citation is an essential aspect of academic integrity and ethical research practices.

In essence, citations are the backbone of scholarly writing, ensuring trustworthiness, proper attribution, and the advancement of knowledge. 📚🔍📖

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Why to perform Molecular Docking?

• Precision: Molecular docking allows researchers to predict how a potential drug molecule will interact with a target protein at the atomic level. This precision is crucial for designing effective drugs.

• Time and Cost Savings: It significantly reduces the need for time-consuming and expensive laboratory experiments by narrowing down the list of potential drug candidates.

• Customization: Molecular docking helps in tailoring drug candidates for specific targets, increasing the chances of success in treating a particular disease.

Maybe it’s time cosuming or boring for researchers to create citations; however, here are some points regarding the importance of citations :

• Credibility: Citations lend credibility to your work by showing that your information is based on reputable sources.

• Acknowledgment: They acknowledge the work of others and give credit to the original authors for their contributions.

• Transparency: Citations provide transparency, allowing readers to verify your claims and delve deeper into the subject matter.

• Avoiding Plagiarism: They help you avoid plagiarism by clearly distinguishing between your ideas and someone else's.

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Citations Vs. References 📝

Citations:

Citations are like annotations that show where you found your information.
They give credit to the original authors.
They're like signposts within your text, pointing to the sources you used.
References:

References are like a list at the end of your work.
They're an organized list of all the sources you used.
They're like a map for others to find the books or articles you mentioned.
In a nutshell, citations are in your text, while references are at the end of your work, and they work together to make your research trustworthy. 📚🔍📖

Curious about the art of predicting protein structures? 🤔 Let's break it down into simple steps:

Sequence Alignment: Compare your target protein's sequence to known structures.

Template Selection: Choose a structurally similar protein as your template.

Model Building: Create a 3D structure based on the template.

Refinement: Polish the model for accuracy.

Validation: Ensure your model makes scientific sense.

Homology modeling is like solving a molecular puzzle, and it opens doors to countless discoveries! 🧩🔬

Insilico Pharmacokinetics Prediction resembles a virtual laboratory, making drug development more efficient, cost-effective, and, most importantly, safer for patients. 🌐💊📊

It involves using powerful software and algorithms to simulate how a drug is absorbed, distributed, metabolized, and excreted in the human body.

This method allows researchers to predict critical factors like drug concentration in the bloodstream, potential interactions, and potential side effects without the need for extensive laboratory testing.

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Statistical analysis is a crucial part of the drug discovery cycle 📊🧬💊.

• It Identifies promising drug candidates.
• Optimizes molecular structures for efficacy.
• Minimizes trial-and-error, saving time and resources.

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Statistical analysis is a toolbox of methods to find patterns, make predictions, and draw meaningful conclusions from data.

It uncovers trends and relationships within data.📈📊
Helps us make informed decisions based on evidence.
Essential in research, business, and everyday life.📉📉

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Ready to supercharge your academic journey? Discover the power of ANN Analysis and take a look on our offered services:

• Docking
• Homology Modeling
• Sequence/ Multiple sequence Alignment
• Network establishment and analysis
• Molecular Dynamics
• Pymol figures generation
• In silico Pharmacokinetics prediction
• Statistical analysis
• PrismGraphPad
• English Proofreading
• Paraphrasing
• Citation and References
• Plagiarism checking
• Plagiarism correction

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Ever wondered how to predict the 3D structure of a protein, even when you don't have a crystallography or NMR data? That's where "Homology Modeling" comes in!

Homology modeling, a powerful tool in structural biology, allows us to create structural models of proteins by comparing them to closely related proteins with known structures.

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Multiple Sequence Alignment (MSA) is the compass guiding researchers in understanding the relationships between genes, proteins, and more. 🧬🔍

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Here's how we tackle 5 common grammatical blunders, which can be quite time-consuming to correct on your own:

1️⃣ Subject-Verb Agreement
2️⃣ Pronoun-Antecedent Agreement
3️⃣ Misplaced Modifiers
4️ Run-Ons & Fragments
5️ Punctuation Precision

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Molecular dynamics can be a bit tough for beginners due to its complex nature and the need for high-end resources. But guess what? There's a simpler way!

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Analysis

An absolute game-changer tool in the world of structural biology and molecular visualization - PyMOL! *EPISODE 2*🧬🔬

Here are some other advantages of using PyMOL:

🧩 Structural Insights: PyMOL empowers us to dig deep into the structures of proteins, DNA, and other biomolecules. Whether you're studying a drug target or understanding an enzyme's function, PyMOL provides the tools to unlock critical insights.

To use PyMOL, you don't need to be expert, but to get an output visualization for publication, you need to master it.

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An absolute game-changer tool in the world of structural biology and molecular visualization - PyMOL! *EPISODE 2*🧬🔬

Here are some other advantages of using PyMOL:

🧩 Structural Insights: PyMOL empowers us to dig deep into the structures of proteins, DNA, and other biomolecules. Whether you're studying a drug target or understanding an enzyme's function, PyMOL provides the tools to unlock critical insights.

To use PyMOL, you don't need to be expert, but to get an output visualization for publication, you need to master it.

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An absolute game-changer tool in the world of structural biology and molecular visualization - PyMOL! *EPISODE 1* 🧬🔬

PyMOL is not just software, it's a window to the world of the nanoscale. Here are some of the key principles that make PyMOL such a valuable resource for scientists, educators, and enthusiasts alike:

🌟 Visualize the Invisible: With PyMOL, we can transform complex chemical structures and biological molecules into stunning 3D visuals. It allows us to see the intricate dance of atoms and molecules that govern life itself.

🎨 Artistry in Science: PyMOL is a canvas for scientific artistry. It's not just about presenting data; it's about creating beautiful and informative visualizations that tell compelling stories about the molecular world.

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Follow us more more information ;), and wait for Episode 2

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🕰️ From Molecules to Medicine: The Evolution of Molecular Docking! 🧬

Molecular Docking, born in the scientific crucible of the 1950s, has evolved from humble beginnings into a powerhouse of molecular insight.

In the 1970s, pioneers like Warshel and Karplus introduced the concept of molecular dynamics simulations, kickstarting the journey towards precision.

By the 1980s, the first docking algorithms emerged, forever changing drug discovery and structural biology.

The 21st century has witnessed MD's meteoric rise, fueling innovation in pharmaceuticals, materials science, and beyond.

Today, ANN Analysis continues this legacy, offering state-of-the-art MD simulations that unlock the secrets of molecular interactions for researchers worldwide. 🌐🧪

🔬 Elevate Your Research with Precision! 🔬
Struggling with aligning sequences for your groundbreaking research or thesis? Look no further! 🌟 Ann Analysis offers top-tier Sequence/Multiple Alignment services tailored to empower your studies. 📚✨

🔍 Why choose us?
🧬 Accurate alignment for robust results.
🔬 Boost your publication prospects.
📝 Strengthen your thesis with expert alignment.

Don't let misaligned sequences hinder your progress. Trust Ann Analysis for seamless, impactful research. 🚀 Contact us today! 📩

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كلنا مستنين بان يتم تصميم دواء جديد لكرونا في اسرع وقت
بس تعرف ان تصميم دواء جديد للمرض بياخد قد ايه وقت وفلوس؟
طيب ازاي نسرع العمليه ديه ونخليها تتكلف اقل ؟
ده دور ال computer aided drug design
لو انت خريج او طالب او باحث في كليات طب وصيدله وعلوم وعايز تعرف اكتر وتتعلم ال CADD وال computational chemistry
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