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Rational Design of Novel Glycomimetic Peptides for E‑Selectin Targeting
E-selectin is a cell-adhesion receptor with specific recognition capacity toward sialo-fucosylated Lewis carbohydrates present in leukocytes and tumor cells. E-selectin interactions mediate the progress of inflammatory processes and tumor metastasis, which aroused the interest in using this protein...
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Published in: | Journal of chemical information and modeling 2021-05, Vol.61 (5), p.2463-2474 |
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description | E-selectin is a cell-adhesion receptor with specific recognition capacity toward sialo-fucosylated Lewis carbohydrates present in leukocytes and tumor cells. E-selectin interactions mediate the progress of inflammatory processes and tumor metastasis, which aroused the interest in using this protein as a biomolecular target to design glycomimetic inhibitors for active targeting or therapeutic purposes. In this work, we report the rational discovery of two novel glycomimetic peptides targeting E-selectin based on mutations of the reference selectin-binding peptide IELLQAR. Sixteen single or double mutants at Ile1, Leu3, Leu4, and Arg7 residues were evaluated as potential candidates for E-selectin targeting using 50 ns molecular dynamics (MD) simulations. Nine peptides showing a stable association with the functional pocket were modified by adding a cysteine residue to the N-terminus to confer versatility for further chemical conjugation. Subsequent 50 ns MD simulations resulted in five cysteine-modified peptides with retained or improved E-selectin binding potential. Then, 300 ns accelerated MD (aMD) simulations were used to examine the binding properties of the best five cysteine-modified peptides. CIEELQAR and CIELFQAR exhibit the most selective association with the functional pocket of E-selectin, as revealed by potential of mean force profiles. Microscale thermophoresis experiments confirmed the E-selectin binding capacity of the selected peptides with K D values in the low micromolar range (CIEELQAR K D = 35.0 ± 1.4 μM; CIELFQAR K D = 16.4 ± 0.7 μM), which are 25-fold lower than the reported value for the native ligand sLex (K D = 878 μM). Our findings support the potential of CIEELQAR and CIELFQAR as novel E-selectin-targeting peptides with high recognition capacity and versatility for chemical conjugation, which are critical for enabling future applications in active targeting. |
doi_str_mv | 10.1021/acs.jcim.1c00295 |
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E-selectin interactions mediate the progress of inflammatory processes and tumor metastasis, which aroused the interest in using this protein as a biomolecular target to design glycomimetic inhibitors for active targeting or therapeutic purposes. In this work, we report the rational discovery of two novel glycomimetic peptides targeting E-selectin based on mutations of the reference selectin-binding peptide IELLQAR. Sixteen single or double mutants at Ile1, Leu3, Leu4, and Arg7 residues were evaluated as potential candidates for E-selectin targeting using 50 ns molecular dynamics (MD) simulations. Nine peptides showing a stable association with the functional pocket were modified by adding a cysteine residue to the N-terminus to confer versatility for further chemical conjugation. Subsequent 50 ns MD simulations resulted in five cysteine-modified peptides with retained or improved E-selectin binding potential. Then, 300 ns accelerated MD (aMD) simulations were used to examine the binding properties of the best five cysteine-modified peptides. CIEELQAR and CIELFQAR exhibit the most selective association with the functional pocket of E-selectin, as revealed by potential of mean force profiles. Microscale thermophoresis experiments confirmed the E-selectin binding capacity of the selected peptides with K D values in the low micromolar range (CIEELQAR K D = 35.0 ± 1.4 μM; CIELFQAR K D = 16.4 ± 0.7 μM), which are 25-fold lower than the reported value for the native ligand sLex (K D = 878 μM). Our findings support the potential of CIEELQAR and CIELFQAR as novel E-selectin-targeting peptides with high recognition capacity and versatility for chemical conjugation, which are critical for enabling future applications in active targeting.</description><identifier>ISSN: 1549-9596</identifier><identifier>EISSN: 1549-960X</identifier><identifier>DOI: 10.1021/acs.jcim.1c00295</identifier><identifier>PMID: 33929203</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Binding ; Carbohydrates ; Cell adhesion ; Conjugation ; Cysteine ; Leukocytes ; Molecular dynamics ; Mutation ; Peptides ; Pharmaceutical Modeling ; Recognition ; Residues ; Simulation ; Thermophoresis ; Tumors ; Versatility</subject><ispartof>Journal of chemical information and modeling, 2021-05, Vol.61 (5), p.2463-2474</ispartof><rights>2021 American Chemical Society</rights><rights>Copyright American Chemical Society May 24, 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a364t-49ecc546cf0d28a51c0c0a934e0e3773ca10ac315bb93e6954d6f6d68e4712063</citedby><cites>FETCH-LOGICAL-a364t-49ecc546cf0d28a51c0c0a934e0e3773ca10ac315bb93e6954d6f6d68e4712063</cites><orcidid>0000-0002-6783-5657 ; 0000-0001-8592-5384</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33929203$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jiménez, Verónica A</creatorcontrib><creatorcontrib>Navarrete, Karen R</creatorcontrib><creatorcontrib>Duque-Noreña, Mario</creatorcontrib><creatorcontrib>Marrugo, Kelly P</creatorcontrib><creatorcontrib>Contreras, María A</creatorcontrib><creatorcontrib>Campos, Cristian H</creatorcontrib><creatorcontrib>Alderete, Joel B</creatorcontrib><title>Rational Design of Novel Glycomimetic Peptides for E‑Selectin Targeting</title><title>Journal of chemical information and modeling</title><addtitle>J. Chem. Inf. Model</addtitle><description>E-selectin is a cell-adhesion receptor with specific recognition capacity toward sialo-fucosylated Lewis carbohydrates present in leukocytes and tumor cells. E-selectin interactions mediate the progress of inflammatory processes and tumor metastasis, which aroused the interest in using this protein as a biomolecular target to design glycomimetic inhibitors for active targeting or therapeutic purposes. In this work, we report the rational discovery of two novel glycomimetic peptides targeting E-selectin based on mutations of the reference selectin-binding peptide IELLQAR. Sixteen single or double mutants at Ile1, Leu3, Leu4, and Arg7 residues were evaluated as potential candidates for E-selectin targeting using 50 ns molecular dynamics (MD) simulations. Nine peptides showing a stable association with the functional pocket were modified by adding a cysteine residue to the N-terminus to confer versatility for further chemical conjugation. Subsequent 50 ns MD simulations resulted in five cysteine-modified peptides with retained or improved E-selectin binding potential. Then, 300 ns accelerated MD (aMD) simulations were used to examine the binding properties of the best five cysteine-modified peptides. CIEELQAR and CIELFQAR exhibit the most selective association with the functional pocket of E-selectin, as revealed by potential of mean force profiles. Microscale thermophoresis experiments confirmed the E-selectin binding capacity of the selected peptides with K D values in the low micromolar range (CIEELQAR K D = 35.0 ± 1.4 μM; CIELFQAR K D = 16.4 ± 0.7 μM), which are 25-fold lower than the reported value for the native ligand sLex (K D = 878 μM). Our findings support the potential of CIEELQAR and CIELFQAR as novel E-selectin-targeting peptides with high recognition capacity and versatility for chemical conjugation, which are critical for enabling future applications in active targeting.</description><subject>Binding</subject><subject>Carbohydrates</subject><subject>Cell adhesion</subject><subject>Conjugation</subject><subject>Cysteine</subject><subject>Leukocytes</subject><subject>Molecular dynamics</subject><subject>Mutation</subject><subject>Peptides</subject><subject>Pharmaceutical Modeling</subject><subject>Recognition</subject><subject>Residues</subject><subject>Simulation</subject><subject>Thermophoresis</subject><subject>Tumors</subject><subject>Versatility</subject><issn>1549-9596</issn><issn>1549-960X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kL1OwzAURi0EoqWwM6FILAyk-Cd24hGVUipVgKBIbJHr3FSukrjECVI3XoFX5ElwacuAxHQ9nO-71wehU4L7BFNypbTrL7Qp-0RjTCXfQ13CIxlKgV_3d28uRQcdObfAmDEp6CHq-EklxayLxk-qMbZSRXADzsyrwObBvX2HIhgVK21LU0JjdPAIy8Zk4ILc1sHw6-PzGQrQjamCqarnHqnmx-ggV4WDk-3soZfb4XRwF04eRuPB9SRUTERNGEnQmkdC5zijieL-co2VZBFgYHHMtCJYaUb4bCYZCMmjTOQiEwlEMaFYsB662PQua_vWgmvS0jgNRaEqsK1LKac4SRIupUfP_6AL29b-s2uKiYRSEUeewhtK19a5GvJ0WZtS1auU4HStOfWa07XmdKvZR862xe2shOw3sPPqgcsN8BPdLf237xvd84h5</recordid><startdate>20210524</startdate><enddate>20210524</enddate><creator>Jiménez, Verónica A</creator><creator>Navarrete, Karen R</creator><creator>Duque-Noreña, Mario</creator><creator>Marrugo, Kelly P</creator><creator>Contreras, María A</creator><creator>Campos, Cristian H</creator><creator>Alderete, Joel B</creator><general>American Chemical Society</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6783-5657</orcidid><orcidid>https://orcid.org/0000-0001-8592-5384</orcidid></search><sort><creationdate>20210524</creationdate><title>Rational Design of Novel Glycomimetic Peptides for E‑Selectin Targeting</title><author>Jiménez, Verónica A ; Navarrete, Karen R ; Duque-Noreña, Mario ; Marrugo, Kelly P ; Contreras, María A ; Campos, Cristian H ; Alderete, Joel B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a364t-49ecc546cf0d28a51c0c0a934e0e3773ca10ac315bb93e6954d6f6d68e4712063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Binding</topic><topic>Carbohydrates</topic><topic>Cell adhesion</topic><topic>Conjugation</topic><topic>Cysteine</topic><topic>Leukocytes</topic><topic>Molecular dynamics</topic><topic>Mutation</topic><topic>Peptides</topic><topic>Pharmaceutical Modeling</topic><topic>Recognition</topic><topic>Residues</topic><topic>Simulation</topic><topic>Thermophoresis</topic><topic>Tumors</topic><topic>Versatility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiménez, Verónica A</creatorcontrib><creatorcontrib>Navarrete, Karen R</creatorcontrib><creatorcontrib>Duque-Noreña, Mario</creatorcontrib><creatorcontrib>Marrugo, Kelly P</creatorcontrib><creatorcontrib>Contreras, María A</creatorcontrib><creatorcontrib>Campos, Cristian H</creatorcontrib><creatorcontrib>Alderete, Joel B</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of chemical information and modeling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiménez, Verónica A</au><au>Navarrete, Karen R</au><au>Duque-Noreña, Mario</au><au>Marrugo, Kelly P</au><au>Contreras, María A</au><au>Campos, Cristian H</au><au>Alderete, Joel B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rational Design of Novel Glycomimetic Peptides for E‑Selectin Targeting</atitle><jtitle>Journal of chemical information and modeling</jtitle><addtitle>J. Chem. Inf. Model</addtitle><date>2021-05-24</date><risdate>2021</risdate><volume>61</volume><issue>5</issue><spage>2463</spage><epage>2474</epage><pages>2463-2474</pages><issn>1549-9596</issn><eissn>1549-960X</eissn><abstract>E-selectin is a cell-adhesion receptor with specific recognition capacity toward sialo-fucosylated Lewis carbohydrates present in leukocytes and tumor cells. E-selectin interactions mediate the progress of inflammatory processes and tumor metastasis, which aroused the interest in using this protein as a biomolecular target to design glycomimetic inhibitors for active targeting or therapeutic purposes. In this work, we report the rational discovery of two novel glycomimetic peptides targeting E-selectin based on mutations of the reference selectin-binding peptide IELLQAR. Sixteen single or double mutants at Ile1, Leu3, Leu4, and Arg7 residues were evaluated as potential candidates for E-selectin targeting using 50 ns molecular dynamics (MD) simulations. Nine peptides showing a stable association with the functional pocket were modified by adding a cysteine residue to the N-terminus to confer versatility for further chemical conjugation. Subsequent 50 ns MD simulations resulted in five cysteine-modified peptides with retained or improved E-selectin binding potential. Then, 300 ns accelerated MD (aMD) simulations were used to examine the binding properties of the best five cysteine-modified peptides. CIEELQAR and CIELFQAR exhibit the most selective association with the functional pocket of E-selectin, as revealed by potential of mean force profiles. Microscale thermophoresis experiments confirmed the E-selectin binding capacity of the selected peptides with K D values in the low micromolar range (CIEELQAR K D = 35.0 ± 1.4 μM; CIELFQAR K D = 16.4 ± 0.7 μM), which are 25-fold lower than the reported value for the native ligand sLex (K D = 878 μM). Our findings support the potential of CIEELQAR and CIELFQAR as novel E-selectin-targeting peptides with high recognition capacity and versatility for chemical conjugation, which are critical for enabling future applications in active targeting.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>33929203</pmid><doi>10.1021/acs.jcim.1c00295</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-6783-5657</orcidid><orcidid>https://orcid.org/0000-0001-8592-5384</orcidid></addata></record> |
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subjects | Binding Carbohydrates Cell adhesion Conjugation Cysteine Leukocytes Molecular dynamics Mutation Peptides Pharmaceutical Modeling Recognition Residues Simulation Thermophoresis Tumors Versatility |
title | Rational Design of Novel Glycomimetic Peptides for E‑Selectin Targeting |
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