When planning your DOE and thinking about which factors to investigate, and how to change them, there's a line to toe. To avoid spending too much effort re-learning things that are already known, you'll need to use your pre-existing knowledge. But at the same time, familiarity shouldn't breed complacency. It’s all too easy to develop experiments that confirm, rather than test, hypotheses. Not having a well-developed and robust theoretical framework for your experiment will prevent you from getting to grips with the complexity of your system. Let's say you want to optimize the expression of a target protein in bacterial cell culture. If you know, for instance, which growth media achieve high yields when you’re trying to optimize protein production with DOE, usually there's no need to confirm this experimentally. Formulae for many cell growth media, on the other hand, have been handed down and used unquestioningly by scientists for generations. Why would you risk taking something out if your cells might not grow properly? Because calculated risks are part of science. Cell growth is complex and there’s no perfect medium that gives excellent results in every possible case. It’s likely that many ingredients aren’t necessary for specific applications or may even be harmful: High levels of zinc may inhibit the growth of certain bacteria, for example. Investigating the composition of such apparently standard parts of the workflow can be useful: Some “unnecessary” components of the media can be very expensive, while others are actively harmful for the specific application. The moral of the story? Be open-minded. DOE gives you the tools to investigate your system in an unbiased way, which often reveals new insights and generates novel hypotheses. For best results, assume you don't know everything. #DOE #DesignOfExperiments #DOEForBiology
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💥 Attention 💥 Are you a researcher/scientist and/or part of legal or management in life sciences, we have interesting news. As you may know, we're building a new data and AI platform that seamlessly integrates your own scientific memory with the world's scientific memory. Brought to life as a form of all-knowing research colleague. Allowing you to do research - faster and at scale! 👉 Situation 👈 We are incorporating and testing a new data set with 150M patent records across 106 jurisdictions and with more than 75M patent families, close to 1 mio biological patents and nearly 500 mio biological sequences. We already have 200M scholarly abstracts, 2M full biology articles from PubMed, Uniprot and PDB Integration and much more. 📢 Ask / Question📢 We would love to test this new patent data set with you, to see what you can come up with. ⚡ Action ⚡ DM me if you want access to try and test this with us #lifescience #research #patent #attourney #biotech #foodtech #biomedicine #genomics #biomaterials #agritech #therapeutics #chemicals
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One thing I did'nt take notice of when I created this page was that everything I do in KrintelConsult is confidential. This makes it rather difficult to brag about it resulting in a fairly dull page. But that doesn't mean I'm not thrilled when I see clients reaching milestones, publishing papers, putting knowledge out there that I see has had my hands (or mind if you will) on it. What have I been doing then? Well, when I started the consulting business I promised myself only to take on tasks subjectively interesting to me. And only if I felt I could make a positve difference. So over the last almost 3 years I have been predicting and evaluating protein-protein interfaces, validating putative drug targets, designed and eveluated experimental protocols, designed many many protein expression constructs on proteins for all kinds of end points. I have written reports, academic texts and read more scientific papers than ever before. It's challenging and it's fun. My collaborations are with a wide variety of small to medium sized biotech companies and academic groups that needs a bit of extra broadband on protein chemistry, structural biology and drug design. If your company or academic group is working on that border between cell, molecular and structural biology and could use guidance or just an outside opinon just contact me for a quote. I've put a picture here of a protein-protein interface. Not confidential of course. Just one that added some grey hairs over the last couple of decades. #proteinchemistry #consulting #drugdesign #structure
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Driving Biopharma Evolution: Dynamic Speaker, Author, Business Development & Marketing Strategist. Leading Digital Excellence & Innovative Multi-Channel Strategies for Growth & Customer Engagement
Welcome to Wednesday Words, where each Wednesday morning I will give you a definition of one word used in biotechnology or biopharma! Multivariate data analysis (MVDA) Multivariate data analysis (MVDA) is a statistical technique used to analyze complex datasets with multiple variables or parameters. MVDA methods include techniques such as principal component analysis (PCA), partial least squares (PLS), and cluster analysis, among others. MVDA allows researchers and analysts to explore relationships between variables, identify patterns, trends, and correlations within the data, and extract meaningful insights. It is commonly used in various fields, including chemistry, biology, engineering, and finance, to analyze experimental data, model complex systems, and make data-driven decisions. If you want to learn more, check out: https://lnkd.in/g_2B-SZs . #wednesdaywords #biotechnology #biopharma
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Happy New Year! Here is another Scientist Spotlight featuring our scientist Ryan Pepi! What’s your background? My background is in protein science! I started my career in downstream process development working from bench scale to pilot scale operations, and I’ve been lucky to extend my experience into a research setting to enable innovative new therapies! What makes you passionate about your work? Research is a creative endeavor and I learn new things all the time. In the end, the hope is always that my work will eventually lead to quality-of-life benefits to patients in need. What do you think is the most exciting thing about being a scientist? Sometimes it is easy to get lost in the details when working on a tough problem, but I always remind myself that I work with cool stuff. Sometimes things glow, sometimes they swim around, and sometimes they behave in unusual ways. Being a scientist offers a window into a world that is unseen by most of the people in the world! #scientistspotlight #biotechnology #proteintherapeutics #antibodydiscovery #drugdiscovery
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Would you like to learn more about metabolomics? Join us on August 12th for a live Virtual Classroom training course on the Absolute Basics of Metabolomics! 🗓️ Dates: 12th August 2024 🌐 Location: Online, Virtual Classroom 🔗 Find out more: https://lnkd.in/eVCgAmZr This course is perfect for anyone looking to get started with metabolomics. You'll learn about: - The various types of instrumentation that generate data - Key workflows and practical examples of data processing - Statistical analysis using specialised data analysis software - Real-world applications of metabolomics Also, don't miss the opportunity to check out our Metabolomics in Biotechnology webinar on our YouTube Channel. 📺 https://lnkd.in/ggfD2iSV Register now and take the first step towards mastering metabolomics! #Metabolomics #AnalyticalTraining #Analyticalscience #AnalyticalChemistry #BridgingtheGap
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https://lnkd.in/dRcUjEnw enzymes activity lab report Homework Help enzymes activity lab report Writing a lab report on enzyme activity within a 1000-word limit requires clear and concise presentation of the experiment, results, discussion, and conclusion. Below is a simplified example: Don't use plagiarized sources. Get Your Custom Essay on enzymes activity lab report Our work is always; • #Top-Quality • #Plagiarism-free Order Essay Lab Report: Enzyme Activity Experiment Introduction (approximately 150 words): Enzymes are biological molecules that act as catalysts, facilitating chemical reactions in living organisms. They play a crucial role in various metabolic processes, including digestion and cellular respiration. This experiment aimed to investigate the effect of temperature on the activity of the enzyme catalase, which catalyzes the decomposition of hydrogen peroxide (H2O2) into water (H2O) and oxygen (O2). Understanding how temperature influences enzyme activity is essential in biology and has practical applications in industries such as food processing and medicine.
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Driving Biopharma Evolution: Dynamic Speaker, Author, Business Development & Marketing Strategist. Leading Digital Excellence & Innovative Multi-Channel Strategies for Growth & Customer Engagement
Welcome to Wednesday Words, where each Wednesday morning I will give you a definition of one word used in biotechnology or biopharma! Principal component analysis (PCA) is a statistical technique used to simplify and analyze complex datasets by reducing dimensionality. PCA identifies the underlying structure in the data by transforming the original variables into a new set of orthogonal variables called principal components. These principal components are ordered by their variance, with the first component explaining the most variance in the data and subsequent components explaining decreasing amounts of variance. PCA allows researchers and analysts to visualize patterns, relationships, and clusters within the data, identify outliers, and extract the most important information from high-dimensional datasets. It is commonly used in fields such as chemistry, biology, finance, and image processing for exploratory data analysis, feature extraction, and data visualization. If you want to learn more, check out: https://lnkd.in/gDGcUhYM #wednesdaywords #biotechnology #biopharma
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as much as we all love protein science, we figure that some folks might have other plans on Valentine's Day next week. So, we'll bump back our meeting this month. Please note that our Cambridge location has changed from the Harvard campus to the MIT campus. See you soon! time: Wednesday, February 21st 2024. Food and drinks will be served starting at 6:30pm EDT, and the seminar will begin at 7pm EDT location: Room 180/181, Building 68, Massachusetts Institute of Technology speaker: Sergey Ovchinnikov title: Recent methods for protein structure generation and design abstract: For this meeting I'll give an update of some of the new techniques and protocols added to the ColabDesign framework. The pros and cons. From hallucination to diffusion, including a short tutorial on how to use them. bpdmc.org
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https://lnkd.in/dRcUjEnw example of a lab report Homework Help example of a lab report Writing a full lab report within a 1000-word limit can be challenging, as lab reports typically contain several sections, including an introduction, methods, results, discussion, and conclusion. I will provide a condensed example of each section to fit within the word limit. Please note that this is a simplified and concise representation, and you should adapt it to match your specific experiment and findings. Don't use plagiarized sources. Get Your Custom Essay on example of a lab report Our work is always; • #Top-Quality • #Plagiarism-free Order Essay Lab Report: Investigating the Effects of pH on Enzyme Activity Introduction (Approx. 150 words) Enzymes are biological catalysts essential for biochemical reactions in living organisms. Their activity is highly dependent on factors such as pH. In this experiment, we aimed to explore the effects of pH on the activity of the enzyme amylase, which catalyzes the hydrolysis of starch into maltose. Understanding the pH sensitivity of amylase is crucial for applications in medicine, industry, and biotechnology.
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𝐓𝐡𝐚𝐧𝐤 𝐲𝐨𝐮 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐨𝐯𝐞𝐫𝐰𝐡𝐞𝐥𝐦𝐢𝐧𝐠 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭 𝐢𝐧 𝐨𝐮𝐫 𝐌𝐨𝐥𝐞𝐜𝐮𝐥𝐚𝐫 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐬𝐞𝐫𝐢𝐞𝐬. Based on your valuable feedback on our recent survey, we've decided to offer a multi-part series rather than a single workshop. To accommodate those new to protein and protein-ligand simulations using Gromacs, we’re excited to announce our 𝐌𝐃 𝐒𝐞𝐫𝐢𝐞𝐬-1 workshop on 𝐀𝐮𝐠𝐮𝐬𝐭 4, 2024. This beginner-focused session will provide a solid foundation without getting bogged down in extensive theory. Our upcoming 𝐌𝐃 𝐒𝐞𝐫𝐢𝐞𝐬-2 will delve deeper into membrane building and simulations, including protein-ligand interactions and in-depth analysis. Details will be announced soon. 𝐖𝐡𝐲 𝐚𝐭𝐭𝐞𝐧𝐝 𝐌𝐃 𝐒𝐞𝐫𝐢𝐞𝐬-1? 𝐒𝐭𝐚𝐫𝐭 𝐟𝐫𝐨𝐦 𝐬𝐜𝐫𝐚𝐭𝐜𝐡: No prior software experience required. 𝐅𝐫𝐞𝐞 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞: Learn to prepare proteins without commercial software. 𝐄𝐧𝐡𝐚𝐧𝐜𝐞 𝐝𝐨𝐜𝐤𝐢𝐧𝐠 𝐬𝐭𝐮𝐝𝐢𝐞𝐬: Improve the reliability of your in silico docking results using Molecular Dynamics simulation. 𝐏𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Ligand parameterization for different force fields. 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐩𝐫𝐨𝐭𝐞𝐢𝐧-𝐥𝐢𝐠𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧𝐬: Explore ligand behavior in various conditions (solvent, pH, temperature) and in motion. 𝐖𝐡𝐨 𝐬𝐡𝐨𝐮𝐥𝐝 𝐚𝐭𝐭𝐞𝐧𝐝? Anyone interested in simulating proteins, protein-ligand, or peptide complexes and analyzing their behavior. Certificates will be provided at the end of the session. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫? Visit https://lnkd.in/djtAsb_W #MolecularDynamicsWorkshop #MD #Gromacs #ProteinLigandSimulation #BioCognizEvents #Pharmacy #Biotechnology #Bioinformatics
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