Matches in SemOpenAlex for { <https://semopenalex.org/work/W2575991276> ?p ?o ?g. }
- W2575991276 endingPage "145" @default.
- W2575991276 startingPage "138" @default.
- W2575991276 abstract "Biobetters are new drugs designed from existing peptide or protein-based therapeutics by improving their properties such as affinity and selectivity for the target epitope, and stability against degradation. Computational methods can play a key role in such design problems-by predicting the changes that are most likely to succeed, they can drastically reduce the number of experiments to be performed. Here we discuss the computational and experimental methods commonly used in drug design problems, focusing on the inverse relationship between the two, namely, the more accurate the computational predictions means the less experimental effort is needed for testing. Examples discussed include efforts to design selective analogs from toxin peptides targeting ion channels for treatment of autoimmune diseases and monoclonal antibodies which are the fastest growing class of therapeutic agents particularly for cancers and autoimmune diseases." @default.
- W2575991276 created "2017-01-26" @default.
- W2575991276 creator A5074253353 @default.
- W2575991276 creator A5086203518 @default.
- W2575991276 date "2017-01-01" @default.
- W2575991276 modified "2023-09-26" @default.
- W2575991276 title "Biobetters From an Integrated Computational/Experimental Approach" @default.
- W2575991276 cites W1975580333 @default.
- W2575991276 cites W1983423577 @default.
- W2575991276 cites W1984417726 @default.
- W2575991276 cites W1984854392 @default.
- W2575991276 cites W1988645930 @default.
- W2575991276 cites W1991736661 @default.
- W2575991276 cites W1998848097 @default.
- W2575991276 cites W2002333784 @default.
- W2575991276 cites W2004124673 @default.
- W2575991276 cites W2005038088 @default.
- W2575991276 cites W2012959003 @default.
- W2575991276 cites W2013291622 @default.
- W2575991276 cites W2013749061 @default.
- W2575991276 cites W2014801563 @default.
- W2575991276 cites W2022016970 @default.
- W2575991276 cites W2024028394 @default.
- W2575991276 cites W2027408247 @default.
- W2575991276 cites W2028835439 @default.
- W2575991276 cites W2029667189 @default.
- W2575991276 cites W2030728145 @default.
- W2575991276 cites W2043383571 @default.
- W2575991276 cites W2043430724 @default.
- W2575991276 cites W2044342670 @default.
- W2575991276 cites W2046231291 @default.
- W2575991276 cites W2050774715 @default.
- W2575991276 cites W2051031878 @default.
- W2575991276 cites W2054103452 @default.
- W2575991276 cites W2067608620 @default.
- W2575991276 cites W2070784177 @default.
- W2575991276 cites W2076106763 @default.
- W2575991276 cites W2077069163 @default.
- W2575991276 cites W2091734240 @default.
- W2575991276 cites W2091788869 @default.
- W2575991276 cites W2094052190 @default.
- W2575991276 cites W2100588804 @default.
- W2575991276 cites W2101284597 @default.
- W2575991276 cites W2102597941 @default.
- W2575991276 cites W2104004818 @default.
- W2575991276 cites W2105668062 @default.
- W2575991276 cites W2110085665 @default.
- W2575991276 cites W2112154906 @default.
- W2575991276 cites W2116903488 @default.
- W2575991276 cites W2120073306 @default.
- W2575991276 cites W2121400889 @default.
- W2575991276 cites W2121727772 @default.
- W2575991276 cites W2121895929 @default.
- W2575991276 cites W2122977308 @default.
- W2575991276 cites W2127567843 @default.
- W2575991276 cites W2129724588 @default.
- W2575991276 cites W2130026480 @default.
- W2575991276 cites W2140841928 @default.
- W2575991276 cites W2143070723 @default.
- W2575991276 cites W2145682943 @default.
- W2575991276 cites W2147261383 @default.
- W2575991276 cites W2149302140 @default.
- W2575991276 cites W2150981663 @default.
- W2575991276 cites W2151020862 @default.
- W2575991276 cites W2152813428 @default.
- W2575991276 cites W2153983456 @default.
- W2575991276 cites W2157991822 @default.
- W2575991276 cites W2158534713 @default.
- W2575991276 cites W2159908782 @default.
- W2575991276 cites W2160499499 @default.
- W2575991276 cites W2165537631 @default.
- W2575991276 cites W2167777181 @default.
- W2575991276 cites W2302684736 @default.
- W2575991276 cites W2434595192 @default.
- W2575991276 cites W2558801358 @default.
- W2575991276 doi "https://doi.org/10.1016/j.csbj.2017.01.003" @default.
- W2575991276 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5279740" @default.
- W2575991276 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28179976" @default.
- W2575991276 hasPublicationYear "2017" @default.
- W2575991276 type Work @default.
- W2575991276 sameAs 2575991276 @default.
- W2575991276 citedByCount "8" @default.
- W2575991276 countsByYear W25759912762018 @default.
- W2575991276 countsByYear W25759912762020 @default.
- W2575991276 countsByYear W25759912762021 @default.
- W2575991276 countsByYear W25759912762023 @default.
- W2575991276 crossrefType "journal-article" @default.
- W2575991276 hasAuthorship W2575991276A5074253353 @default.
- W2575991276 hasAuthorship W2575991276A5086203518 @default.
- W2575991276 hasBestOaLocation W25759912761 @default.
- W2575991276 hasConcept C159654299 @default.
- W2575991276 hasConcept C195616568 @default.
- W2575991276 hasConcept C203014093 @default.
- W2575991276 hasConcept C41008148 @default.
- W2575991276 hasConcept C542903549 @default.
- W2575991276 hasConcept C60644358 @default.
- W2575991276 hasConcept C70721500 @default.
- W2575991276 hasConcept C74187038 @default.