The INNs and outs of antibody nonproprietary names.

An important step in drug development is the assignment of an International Nonproprietary Name (INN) by the World Health Organization (WHO) that provides healthcare professionals with a unique and universally available designated name to identify each pharmaceutical substance. Monoclonal antibody INNs comprise a -mab suffix preceded by a substem indicating the antibody type, e.g.

PanR1, a dominant negative missense allele of the gene encoding TNF-alpha (Tnf), does not impair lymphoid development.

A dominant hypomorphic allele of Tnf, PanR1, was identified in a population of G(1) mice born to N-ethyl-N-nitrosourea-mutagenized sires. Macrophages from homozygotes produced no detectable TNF bioactivity, although normal quantities of immunoreactive TNF were secreted. The phenotype was confined to a critical region on mouse chromosome 17, and then ascribed to a C-->A transversion at position 3480 of the Tnf gene, corresponding to the amino acid substitution P138T.

In silico protein design: fitting sequence onto structure.

In the last 10 yr, efforts have begun to combine the goals and approaches of computational molecular design and protein sequence analysis to provide tools for the rational mutagenesis and functional modification of proteins. These approaches use analysis of the three-dimensional structure of a protein to guide the selection of appropriate amino acid sequences to create desired properties or functions. The convergence of low-cost, high-speed computers, a tremendous increase in protein structure information, and a growing understanding of the forces that control protein structure has resulted in dramatic advances in the ability to control protein function and structure and to create the first truly artificial proteins.

Engineered antibody Fc variants with enhanced effector function.

Antibody-dependent cell-mediated cytotoxicity, a key effector function for the clinical efficacy of monoclonal antibodies, is mediated primarily through a set of closely related Fcgamma receptors with both activating and inhibitory activities. By using computational design algorithms and high-throughput screening, we have engineered a series of Fc variants with optimized Fcgamma receptor affinity and specificity. The designed variants display >2 orders of magnitude enhancement of in vitro effector function, enable efficacy against cells expressing low levels of target antigen, and result in increased cytotoxicity in an in vivo preclinical model.

JNK and tumor necrosis factor-alpha mediate free fatty acid-induced insulin resistance in 3T3-L1 adipocytes.

Lipid infusion and high fat feeding are established causes of systemic and adipose tissue insulin resistance. In this study, we treated 3T3-L1 adipocytes with a mixture of free fatty acids (FFAs) to investigate the molecular mechanisms underlying fat-induced insulin resistance. FFA treatment impaired insulin receptor-mediated signal transduction and decreased insulin-stimulated GLUT4 translocation and glucose transport.

Inactivation of TNF signaling by rationally designed dominant-negative TNF variants.

Tumor necrosis factor (TNF) is a key regulator of inflammatory responses and has been implicated in many pathological conditions. We used structure-based design to engineer variant TNF proteins that rapidly form heterotrimers with native TNF to give complexes that neither bind to nor stimulate signaling through TNF receptors. Thus, TNF is inactivated by sequestration.

Combining computational and experimental screening for rapid optimization of protein properties.

We present a combined computational and experimental method for the rapid optimization of proteins. Using beta-lactamase as a test case, we redesigned the active site region using our Protein Design Automation technology as a computational screen to search the entire sequence space. By eliminating sequences incompatible with the protein fold, Protein Design Automation rapidly reduced the number of sequences to a size amenable to experimental screening, resulting in a library of approximately equal 200,000 mutants.

Computational stabilization of human growth hormone.

Recombinant human growth hormone (hGH) is used worldwide for the treatment of pediatric hypopituitary dwarfism and in children suffering from low levels of hGH. It has limited stability in solution, and because of poor oral absorption, is administered by injection, typically several times a week. Development has therefore focused on more stable or sustained-release formulations and alternatives to injectable delivery that would increase bioavailability and make it easier for patients to use.

Development of a cytokine analog with enhanced stability using computational ultrahigh throughput screening.

Granulocyte-colony stimulating factor (G-CSF) is used worldwide to prevent neutropenia caused by high-dose chemotherapy. It has limited stability, strict formulation and storage requirements, and because of poor oral absorption must be administered by injection (typically daily). Thus, there is significant interest in developing analogs with improved pharmacological properties.