Evaluation of neomycin analogues for HIV-1 RRE RNA recognition identifies enhanced activity simplified neamine analogues.

Synthetic neamine mimetics have been evaluated for binding to the HIV-1 Rev response element. Modified neamine derivatives, obtained from reductive amination of neamine, led to identification of new 6-amino modified neamine-type ligands with HIV-1 RRE binding affinity up to 20× that of neamine and up to 6× that of the more complex neomycin itself. This provides a noteworthy structure-activity increase and a useful lead to simplified, chemically accessible mimetics.

Macromolecular networks and intelligence in microorganisms.

Living organisms persist by virtue of complex interactions among many components organized into dynamic, environment-responsive networks that span multiple scales and dimensions. Biological networks constitute a type of information and communication technology (ICT): they receive information from the outside and inside of cells, integrate and interpret this information, and then activate a response. Biological networks enable molecules within cells, and even cells themselves, to communicate with each other and their environment. We have become accustomed to associating brain activity - particularly activity of the human brain - with a phenomenon we call "intelligence." Yet, four billion years of evolution could have selected networks with topologies and dynamics that confer traits analogous to this intelligence, even though they were outside the intercellular networks of the brain. Here, we explore how macromolecular networks in microbes confer intelligent characteristics, such as memory, anticipation, adaptation and reflection and we review current understanding of how network organization reflects the type of intelligence required for the environments in which they were selected. We propose that, if we were to leave terms such as "human" and "brain" out of the defining features of "intelligence," all forms of life - from microbes to humans - exhibit some or all characteristics consistent with "intelligence." We then review advances in genome-wide data production and analysis, especially in microbes, that provide a lens into microbial intelligence and propose how the insights derived from quantitatively characterizing biomolecular networks may enable synthetic biologists to create intelligent molecular networks for biotechnology, possibly generating new forms of intelligence, first in silico and then in vivo.

Structure of AKR1C3 with 3-phenoxybenzoic acid bound.

Aldo-keto reductase 1C3 (AKR1C3) is a human enzyme that catalyzes the NADPH-dependent reduction of steroids and prostaglandins. AKR1C3 overexpression is associated with the proliferation of hormone-dependent cancers, most notably breast and prostate cancers. Nonsteroidal anti-inflammatory drugs (NSAIDs) and their analogues are well characterized inhibitors of AKR1C3. Here, the X-ray crystal structure of 3-phenoxybenzoic acid in complex with AKR1C3 is presented. This structure provides useful information for the future development of new anticancer agents by structure-guided drug design.