A purification platform for antibodies and derived fragments using a de novo designed affinity adsorbent

Requirement of a Blocking Step in Affinity Purification of Polyclonal Antibodies

A de novo designed template for generating conformation-specific antibodies that recognize alpha-helices in proteins.

The generation of antibodies directed toward the surface-exposed regions of a protein using synthetic peptides as immunogens representing surface loops and turns has been widely successful. However, peptides representing alpha-helical regions are typically unstructured in solution and unable to produce antibodies that recognize alpha-helices in native proteins. We describe a de novo designed pa...

De novo designed peptides for biological applicationsw

In recent years our ability to design and assemble peptide-based materials and objects de novo (i.e. from first principles) has improved considerably. This brings us to a point where the resulting assemblies are quite sophisticated and amenable to engineering in new functions. Whilst such systems could be used in a variety of ways, biological applications are of particular interest because of t...

passivity in waiting for godot and endgame: a psychoanalytic reading

this study intends to investigate samuel beckett’s waiting for godot and endgame under the lacanian psychoanalysis. it begins by explaining the most important concepts of lacanian psychoanalysis. the beckettian characters are studied regarding their state of unconscious, and not the state of consciousness as is common in most beckett studies. according to lacan, language plays the sole role in ...

Computational de novo design of antibodies binding to a peptide with high affinity.

Antibody drugs play a critical role in infectious diseases, cancer, autoimmune diseases, and inflammation. However, experimental methods for the generation of therapeutic antibodies such as using immunized mice or directed evolution remain time consuming and cannot target a specific antigen epitope. Here, we describe the application of a computational framework called OptMAVEn combined with mol...