Update index.html

Author: ramirezlab

index.html

@@ -316,9 +316,13 @@ <h2>Welcome to the Ramírez Lab</h2>
 
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   <h2><a href="/2_research">Active research areas</a></h2>
-  <li align="justify"><b>Systems and network pharmacology:</b> We integrate biological data across various levels of organization, such as genomics, proteomics, and metabolomics. By doing so, we gain a better understanding of the intricate interactions between drugs and biological pathways in the body. This knowledge strengthens our ability to design drugs that target multiple targets/pathways simultaneously, achieving better and more comprehensive therapeutic outcomes. Our approach offers a promising direction toward developing more effective treatments for a range of complex diseases.</li><br> 
-  <li align="justify"><b>Structural bioinformatics:</b> We use of computational methods such as molecular dynamics simulations, to predict and analyze the structure of protein-ligand complexes, which can be used to identify potential therapeutic targets and design new drugs. Furthermore, we validate our findings through experimental testing to ensure their accuracy and reliability. Our approach in structural bioinformatics offers a promising avenue for discovering novel treatments for a range of diseases.</li><br>
-  <li align="justify"><b>Multitarget drug design aimed at complex diseases:</b> We employed machine learning and artificial intelligence to analyze large datasets and identify novel targets. We then designed new molecules using this information to create multitarget-directed ligands. The designed molecules are tested and optimized through medicinal chemistry campaigns.</li><br>
+Our laboratory spearheads innovative research across three key areas:
+<li align="justify"><b>Systems and network pharmacology:</b> We pioneer the integration of multi-omic data (genomics, proteomics, metabolomics, ...) to unravel the complex network of drug-biological pathway interactions. Our cutting-edge approach (based in graph theory) illuminates the multifaceted mechanisms of action of drugs within the human body, enabling the strategic design of therapeutics that concurrently target multiple biological pathways. This holistic strategy not only amplifies the efficacy of treatments but also opens new horizons for combating complex diseases, marking a significant leap toward advanced therapeutic alternatives.</li><br> 
+<li align="justify"><b>Structural bioinformatics:</b> Our lab uses cutting edge computational techniques, notably molecular dynamics simulations (as computational microscope), to predict and elucidate complex process of protein-ligand binding. This critical insight facilitates the identification of viable therapeutic targets and the conception of novel drug candidates. Validation through experimental testing underpins the reliability and applicability of our discoveries. By bridging computational predictions with empirical evidence, we move forward to innovative therapies in a variety of diseases.</li><br> 
+<li align="justify"><b>Multitarget drug design aimed at complex diseases:</b>  Harnessing the power of machine learning and artificial intelligence, we navigate the vast chemical space to uncover new drug candidates for disease intervention. Utilizing these insights, we design innovative multitarget-directed ligands, subsequently refined through medicinal chemistry programs to optimize efficacy and safety profiles. This approach not only accelerates the discovery of new drugs but also enhances our ability to tackle complex diseases through tailored, multitarget therapeutic agents.</li><be> 
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+Together, these research avenues underscore our commitment to transcending traditional drug discovery paradigms, employing a synergistic blend of computational and experimental methodologies to pursue new avenues in the treatment of complex diseases.
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