Project description:In the search for new pharmaceutical leads, especially with DNA-binding molecules or genome editing methods, the issue of side and off-target effects have always been thorny in nature. A particular case is the investigation into the off-target effects of N-methylpyrrole-N-methylimidazole polyamides, a naturally inspired class of DNA binders with strong affinity to the minor-groove and sequence specificity, but at < 20 bases, their relatively short motifs also insinuate the possibility of non-unique genomic binding. Binding at non-intended loci potentially lead to the rise of off-target effects, issues that very few approaches are able to address to-date. We here report an analytical method to infer off-target binding, via expression profiling, based on probing the relative impact to various biochemical pathways; we also proposed an accompanying side effect prediction engine for the systematic screening of candidate polyamides. This method marks the first attempt in PI polyamide research to identify elements in biochemical pathways that are sensitive to the treatment of a candidate polyamide as an approach to infer possible off-target effects. Expression changes were then considered to assess possible outward phenotypic changes, manifested as side effects, should the same PI polyamide candidate be administered clinically. We validated some of these effects with a series of animal experiments, and found agreeable corroboration in certain side effects, such as changes in aspartate transaminase levels in ICR and nude mice post-administration.
Project description:Side and off-target effects remain a difficult issue in the search of pharmaceutical leads, especially with DNA-binding molecules or genome editing methods where the issue becomes particularly thorny. A particular case is the investigations into the off-target effects of N-methylpyrrole-N-methylimidazole polyamides, a naturally inspired class of DNA binders that discriminately access the minor groove with strong affinity and sequence specificity but the relatively short motif of < 20 bases often imply possible non-unique genomic binding. Multiple binding sites may translate to binding at non-intended loci, potentially leading to off-target effects, issues that very few approaches are able to address to-date. We here report an analytical method of inferring off-target binding from expression profiling based on the relative impact to various biochemical pathways, as well as an accompanying side effect prediction engine to allow candidate polyamides to be systematically screened. This method marks the first attempt in PI polyamide research to identify elements in various biochemical pathways sensitive to the treatment of a candidate polyamide to infer possible off-target effects. Expression changes were then considered for their possible effect on outward phenotypic changes, manifested as side effects, should the same PI polyamide candidate be administered clinically. We also performed a series of animal experiments to validate some of these effects, and found some corroboration in certain side effect manifestations, such as changes in the level of aspartate transaminase in ICR and nude mice after injection of some of the candidate polyamides in this study.
Project description:Side and off-target effects remain a difficult issue in the search of pharmaceutical leads, especially with DNA-binding molecules or genome editing methods where the issue becomes particularly thorny. A particular case is the investigations into the off-target effects of N-methylpyrrole-N-methylimidazole polyamides, a naturally inspired class of DNA binders that discriminately access the minor groove with strong affinity and sequence specificity but the relatively short motif of < 20 bases often imply possible non-unique genomic binding. Multiple binding sites may translate to binding at non-intended loci, potentially leading to off-target effects, issues that very few approaches are able to address to-date. We here report an analytical method of inferring off-target binding from expression profiling based on the relative impact to various biochemical pathways, as well as an accompanying side effect prediction engine to allow candidate polyamides to be systematically screened. This method marks the first attempt in PI polyamide research to identify elements in various biochemical pathways sensitive to the treatment of a candidate polyamide to infer possible off-target effects. Expression changes were then considered for their possible effect on outward phenotypic changes, manifested as side effects, should the same PI polyamide candidate be administered clinically. We also performed a series of animal experiments to validate some of these effects, and found some corroboration in certain side effect manifestations, such as changes in the level of aspartate transaminase in ICR and nude mice after injection of some of the candidate polyamides in this study.
Project description:Side and off-target effects remain a difficult issue in the search of pharmaceutical leads, especially with DNA-binding molecules or genome editing methods where the issue becomes particularly thorny. A particular case is the investigations into the off-target effects of N-methylpyrrole-N-methylimidazole polyamides, a naturally inspired class of DNA binders that discriminately access the minor groove with strong affinity and sequence specificity but the relatively short motif of < 20 bases often imply possible non-unique genomic binding. Multiple binding sites may translate to binding at non-intended loci, potentially leading to off-target effects, issues that very few approaches are able to address to-date. We here report an analytical method of inferring off-target binding from expression profiling based on the relative impact to various biochemical pathways, as well as an accompanying side effect prediction engine to allow candidate polyamides to be systematically screened. This method marks the first attempt in PI polyamide research to identify elements in various biochemical pathways sensitive to the treatment of a candidate polyamide to infer possible off-target effects. Expression changes were then considered for their possible effect on outward phenotypic changes, manifested as side effects, should the same PI polyamide candidate be administered clinically. We also performed a series of animal experiments to validate some of these effects, and found some corroboration in certain side effect manifestations, such as changes in the level of aspartate transaminase in ICR and nude mice after injection of some of the candidate polyamides in this study.
Project description:Side and off-target effects remain a difficult issue in the search of pharmaceutical leads, especially with DNA-binding molecules or genome editing methods where the issue becomes particularly thorny. A particular case is the investigations into the off-target effects of N-methylpyrrole-N-methylimidazole polyamides, a naturally inspired class of DNA binders that discriminately access the minor groove with strong affinity and sequence specificity but the relatively short motif of < 20 bases often imply possible non-unique genomic binding. Multiple binding sites may translate to binding at non-intended loci, potentially leading to off-target effects, issues that very few approaches are able to address to-date. We here report an analytical method of inferring off-target binding from expression profiling based on the relative impact to various biochemical pathways, as well as an accompanying side effect prediction engine to allow candidate polyamides to be systematically screened. This method marks the first attempt in PI polyamide research to identify elements in various biochemical pathways sensitive to the treatment of a candidate polyamide to infer possible off-target effects. Expression changes were then considered for their possible effect on outward phenotypic changes, manifested as side effects, should the same PI polyamide candidate be administered clinically. We also performed a series of animal experiments to validate some of these effects, and found some corroboration in certain side effect manifestations, such as changes in the level of aspartate transaminase in ICR and nude mice after injection of some of the candidate polyamides in this study.
Project description:Side and off-target effects remain a difficult issue in the search of pharmaceutical leads, especially with DNA-binding molecules or genome editing methods where the issue becomes particularly thorny. A particular case is the investigations into the off-target effects of N-methylpyrrole-N-methylimidazole polyamides, a naturally inspired class of DNA binders that discriminately access the minor groove with strong affinity and sequence specificity but the relatively short motif of < 20 bases often imply possible non-unique genomic binding. Multiple binding sites may translate to binding at non-intended loci, potentially leading to off-target effects, issues that very few approaches are able to address to-date. We here report an analytical method of inferring off-target binding from expression profiling based on the relative impact to various biochemical pathways, as well as an accompanying side effect prediction engine to allow candidate polyamides to be systematically screened. This method marks the first attempt in PI polyamide research to identify elements in various biochemical pathways sensitive to the treatment of a candidate polyamide to infer possible off-target effects. Expression changes were then considered for their possible effect on outward phenotypic changes, manifested as side effects, should the same PI polyamide candidate be administered clinically. We also performed a series of animal experiments to validate some of these effects, and found some corroboration in certain side effect manifestations, such as changes in the level of aspartate transaminase in ICR and nude mice after injection of some of the candidate polyamides in this study.
Project description:Side and off-target effects remain a difficult issue in the search of pharmaceutical leads, especially with DNA-binding molecules or genome editing methods where the issue becomes particularly thorny. A particular case is the investigations into the off-target effects of N-methylpyrrole-N-methylimidazole polyamides, a naturally inspired class of DNA binders that discriminately access the minor groove with strong affinity and sequence specificity but the relatively short motif of < 20 bases often imply possible non-unique genomic binding. Multiple binding sites may translate to binding at non-intended loci, potentially leading to off-target effects, issues that very few approaches are able to address to-date. We here report an analytical method of inferring off-target binding from expression profiling based on the relative impact to various biochemical pathways, as well as an accompanying side effect prediction engine to allow candidate polyamides to be systematically screened. This method marks the first attempt in PI polyamide research to identify elements in various biochemical pathways sensitive to the treatment of a candidate polyamide to infer possible off-target effects. Expression changes were then considered for their possible effect on outward phenotypic changes, manifested as side effects, should the same PI polyamide candidate be administered clinically. We also performed a series of animal experiments to validate some of these effects, and found some corroboration in certain side effect manifestations, such as changes in the level of aspartate transaminase in ICR and nude mice after injection of some of the candidate polyamides in this study.
Project description:Side and off-target effects remain a difficult issue in the search of pharmaceutical leads, especially with DNA-binding molecules or genome editing methods where the issue becomes particularly thorny. A particular case is the investigations into the off-target effects of N-methylpyrrole-N-methylimidazole polyamides, a naturally inspired class of DNA binders that discriminately access the minor groove with strong affinity and sequence specificity but the relatively short motif of < 20 bases often imply possible non-unique genomic binding. Multiple binding sites may translate to binding at non-intended loci, potentially leading to off-target effects, issues that very few approaches are able to address to-date. We here report an analytical method of inferring off-target binding from expression profiling based on the relative impact to various biochemical pathways, as well as an accompanying side effect prediction engine to allow candidate polyamides to be systematically screened. This method marks the first attempt in PI polyamide research to identify elements in various biochemical pathways sensitive to the treatment of a candidate polyamide to infer possible off-target effects. Expression changes were then considered for their possible effect on outward phenotypic changes, manifested as side effects, should the same PI polyamide candidate be administered clinically. We also performed a series of animal experiments to validate some of these effects, and found some corroboration in certain side effect manifestations, such as changes in the level of aspartate transaminase in ICR and nude mice after injection of some of the candidate polyamides in this study.