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		<title>How do you integrate existing molecular data in drug discovery?</title>
		<link>https://www.aurlide.fi/blog/how-do-you-integrate-existing-molecular-data-in-drug-discovery/</link>
		
		<dc:creator><![CDATA[wpseoai]]></dc:creator>
		<pubDate>Thu, 06 Nov 2025 06:00:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://www.aurlide.fi/?p=520</guid>

					<description><![CDATA[<p>Learn how to integrate existing molecular data in drug discovery to improve hit identification rates by 3x while reducing costs through virtual screening and computational methods.</p>
<p>The post <a href="https://www.aurlide.fi/blog/how-do-you-integrate-existing-molecular-data-in-drug-discovery/">How do you integrate existing molecular data in drug discovery?</a> appeared first on <a href="https://www.aurlide.fi">Aurlide</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>What is the difference between virtual and traditional screening methods?</title>
		<link>https://www.aurlide.fi/blog/what-is-the-difference-between-virtual-and-traditional-screening-methods/</link>
		
		<dc:creator><![CDATA[wpseoai]]></dc:creator>
		<pubDate>Wed, 05 Nov 2025 06:00:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://www.aurlide.fi/?p=517</guid>

					<description><![CDATA[<p>The main difference between virtual and traditional screening methods lies in their approach: virtual screening uses computational algorithms to analyse molecular structures and predict drug-target interactions without physical testing, whilst traditional screening involves physically testing actual compounds in laboratory settings. Virtual methods offer speed and cost-effectiveness for large compound libraries, whereas traditional approaches provide direct biological validation but require more time and resources. Virtual screening is a computational drug discovery technique that uses computer algorithms to identify potential drug compounds without conducting physical laboratory tests. This method analyses molecular structures and predicts how they might interact with specific biological targets...</p>
<p>The post <a href="https://www.aurlide.fi/blog/what-is-the-difference-between-virtual-and-traditional-screening-methods/">What is the difference between virtual and traditional screening methods?</a> appeared first on <a href="https://www.aurlide.fi">Aurlide</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>What are the benefits of outsourcing pharmaceutical R&#038;D services?</title>
		<link>https://www.aurlide.fi/blog/what-are-the-benefits-of-outsourcing-pharmaceutical-rd-services/</link>
		
		<dc:creator><![CDATA[wpseoai]]></dc:creator>
		<pubDate>Thu, 30 Oct 2025 06:00:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://www.aurlide.fi/?p=519</guid>

					<description><![CDATA[<p>Discover key benefits of outsourcing pharmaceutical R&#038;D services, from accelerated timelines to cost savings and access to cutting-edge technologies.</p>
<p>The post <a href="https://www.aurlide.fi/blog/what-are-the-benefits-of-outsourcing-pharmaceutical-rd-services/">What are the benefits of outsourcing pharmaceutical R&#038;D services?</a> appeared first on <a href="https://www.aurlide.fi">Aurlide</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>What are the main challenges in pharmaceutical hit identification?</title>
		<link>https://www.aurlide.fi/blog/what-are-the-main-challenges-in-pharmaceutical-hit-identification/</link>
		
		<dc:creator><![CDATA[wpseoai]]></dc:creator>
		<pubDate>Wed, 29 Oct 2025 06:00:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://www.aurlide.fi/?p=512</guid>

					<description><![CDATA[<p>Discover critical challenges blocking pharmaceutical hit identification success and how virtual screening technologies are revolutionizing drug discovery timelines.</p>
<p>The post <a href="https://www.aurlide.fi/blog/what-are-the-main-challenges-in-pharmaceutical-hit-identification/">What are the main challenges in pharmaceutical hit identification?</a> appeared first on <a href="https://www.aurlide.fi">Aurlide</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>What is meant by pharmacokinetic property prediction?</title>
		<link>https://www.aurlide.fi/blog/what-is-meant-by-pharmacokinetic-property-prediction/</link>
		
		<dc:creator><![CDATA[wpseoai]]></dc:creator>
		<pubDate>Mon, 29 Sep 2025 05:00:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://www.aurlide.fi/?p=513</guid>

					<description><![CDATA[<p>Pharmacokinetic property prediction refers to using computational methods to forecast how a drug compound will behave in the human body before conducting expensive laboratory testing. This involves predicting ADME properties (absorption, distribution, metabolism, and excretion) through machine learning models and computational analysis. These predictions help pharmaceutical researchers identify promising compounds early in drug discovery, reducing development costs and accelerating the path to successful medications. Pharmacokinetic property prediction is the process of using computational tools to estimate how a drug will move through and interact with the human body. Rather than immediately testing compounds in expensive laboratory experiments, researchers can predict...</p>
<p>The post <a href="https://www.aurlide.fi/blog/what-is-meant-by-pharmacokinetic-property-prediction/">What is meant by pharmacokinetic property prediction?</a> appeared first on <a href="https://www.aurlide.fi">Aurlide</a>.</p>
]]></description>
		
		
		
			</item>
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		<title>How do you predict ADMET properties of drug candidates?</title>
		<link>https://www.aurlide.fi/blog/how-do-you-predict-admet-properties-of-drug-candidates/</link>
		
		<dc:creator><![CDATA[wpseoai]]></dc:creator>
		<pubDate>Sat, 27 Sep 2025 05:00:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://www.aurlide.fi/?p=526</guid>

					<description><![CDATA[<p>Predicting ADMET properties of drug candidates involves using computational methods, machine learning models, and metabolic pathway analysis to forecast how potential drugs will behave in the human body. These predictions help pharmaceutical researchers identify promising compounds early in development, saving time and resources by avoiding costly failures later in the process. ADMET properties represent five critical characteristics that determine how a drug performs in the human body: Absorption (how well the drug enters the bloodstream), Distribution (how it spreads throughout tissues), Metabolism (how the body breaks it down), Excretion (how it&#8217;s eliminated), and Toxicity (potential harmful effects). These properties directly...</p>
<p>The post <a href="https://www.aurlide.fi/blog/how-do-you-predict-admet-properties-of-drug-candidates/">How do you predict ADMET properties of drug candidates?</a> appeared first on <a href="https://www.aurlide.fi">Aurlide</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>What are the challenges of metabolic prediction in drug development?</title>
		<link>https://www.aurlide.fi/blog/what-are-the-challenges-of-metabolic-prediction-in-drug-development/</link>
		
		<dc:creator><![CDATA[wpseoai]]></dc:creator>
		<pubDate>Fri, 26 Sep 2025 05:00:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://www.aurlide.fi/?p=531</guid>

					<description><![CDATA[<p>Metabolic prediction challenges in drug development stem from the complex biological processes that determine how the human body processes pharmaceutical compounds. These challenges include enzyme variability, genetic differences between individuals, and species-specific metabolic pathways that make accurate forecasting difficult. Understanding these obstacles helps pharmaceutical researchers develop better strategies for successful drug development. The complexity of biological systems creates numerous obstacles for accurate metabolic prediction in pharmaceutical research. Drug metabolism involves intricate enzymatic processes that vary significantly between individuals and species, making it challenging to predict how a compound will behave in the human body. Enzyme variability represents one of the...</p>
<p>The post <a href="https://www.aurlide.fi/blog/what-are-the-challenges-of-metabolic-prediction-in-drug-development/">What are the challenges of metabolic prediction in drug development?</a> appeared first on <a href="https://www.aurlide.fi">Aurlide</a>.</p>
]]></description>
		
		
		
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		<title>What is virtual screening?</title>
		<link>https://www.aurlide.fi/blog/what-is-virtual-screening/</link>
		
		<dc:creator><![CDATA[wpseoai]]></dc:creator>
		<pubDate>Thu, 25 Sep 2025 05:00:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://www.aurlide.fi/?p=562</guid>

					<description><![CDATA[<p>Virtual screening is a computational method used in drug discovery that employs computer algorithms to identify potential drug compounds from large molecular databases. Instead of physically testing millions of compounds in laboratories, virtual screening evaluates molecular structures digitally to predict which ones might interact effectively with specific drug targets. This approach allows researchers to screen vast chemical libraries quickly and cost-effectively before moving to laboratory testing. Virtual screening uses computational algorithms to analyse molecular databases and identify compounds that could potentially bind to specific protein targets. The process begins with a three-dimensional model of the target protein, often derived from...</p>
<p>The post <a href="https://www.aurlide.fi/blog/what-is-virtual-screening/">What is virtual screening?</a> appeared first on <a href="https://www.aurlide.fi">Aurlide</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>How does virtual high-throughput screening work in drug discovery?</title>
		<link>https://www.aurlide.fi/blog/how-does-virtual-high-throughput-screening-work-in-drug-discovery/</link>
		
		<dc:creator><![CDATA[wpseoai]]></dc:creator>
		<pubDate>Wed, 24 Sep 2025 05:00:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://www.aurlide.fi/?p=508</guid>

					<description><![CDATA[<p>Virtual high-throughput screening works by using computational methods to evaluate millions of chemical compounds digitally before any physical testing occurs. This drug discovery approach employs sophisticated algorithms and molecular modelling to predict how compounds might interact with specific protein targets, dramatically reducing the time and resources needed compared to traditional laboratory screening methods. Virtual high-throughput screening (vHTS) represents a computational approach to drug discovery that evaluates chemical compounds through digital simulation rather than physical laboratory testing. Unlike traditional high-throughput screening, which requires actual chemical samples and laboratory equipment, vHTS uses computer algorithms to predict molecular interactions. Traditional screening methods involve...</p>
<p>The post <a href="https://www.aurlide.fi/blog/how-does-virtual-high-throughput-screening-work-in-drug-discovery/">How does virtual high-throughput screening work in drug discovery?</a> appeared first on <a href="https://www.aurlide.fi">Aurlide</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>About molecular docking</title>
		<link>https://www.aurlide.fi/blog/about-molecular-docking/</link>
		
		<dc:creator><![CDATA[Sakari]]></dc:creator>
		<pubDate>Tue, 08 Apr 2025 09:01:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://www.aurlide.fi/?p=416</guid>

					<description><![CDATA[<p>Here’s one crucial thing to understand about molecular docking: Docking scores alone tell you nothing! Take...</p>
<p>The post <a href="https://www.aurlide.fi/blog/about-molecular-docking/">About molecular docking</a> appeared first on <a href="https://www.aurlide.fi">Aurlide</a>.</p>
]]></description>
		
		
		
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