Isotopic records across the “Latest Paleocene Thermal Maximum“ (LPTM) indicate that bottom water temperature increased by more than 4°C during a brief time interval (<104 years) of the latest Paleocene (∼55.6 Ma). There also was a coeval −2 to −3‰ excursion in the δ13C of the ocean/atmosphere inorganic carbon reservoir. Given the large mass of this reservoir, a rapid δ13C shift of this magnitude is difficult to explain within the context of conventional hypotheses for changing the mean carbon isotope composition of the ocean and atmosphere. However, a direct consequence of warming bottom water temperature from 11 to 15°C over 104 years would be a significant change in sediment thermal gradients and dissociation of oceanic CH4 hydrate at locations with intermediate water depths. In terms of the present‐day oceanic CH4 hydrate reservoir, thermal dissociation of oceanic CH4 hydrate during the LPTM could have released greater than 1.1 to 2.1 × 1018 g of carbon with a δ13C of approximately −60‰. The release and subsequent oxidation of this amount of carbon is sufficient to explain a −2 to −3‰ excursion in δ13C across the LPTM. Fate of CH4 in oceanic hydrates must be considered in developing models of the climatic and paleoceanographic regimes that operated during the LPTM.

The pharmaceutical industry remains under huge pressure to address the high attrition rates in drug development. Attempts to reduce the number of efficacy- and safety-related failures by analysing possible links to the physicochemical properties of small-molecule drug candidates have been inconclusive because of the limited size of data sets from individual companies. Here, we describe the compilation and analysis of combined data on the attrition of drug candidates from AstraZeneca, Eli Lilly and Company, GlaxoSmithKline and Pfizer. The analysis reaffirms that control of physicochemical properties during compound optimization is beneficial in identifying compounds of candidate drug quality and indicates for the first time a link between the physicochemical properties of compounds and clinical failure due to safety issues. The results also suggest that further control of physicochemical properties is unlikely to have a significant effect on attrition rates and that additional work is required to address safety-related failures. Further cross-company collaborations will be crucial to future progress in this area.

This report highlights the advantages of low-affinity, multivalent interactions to recognize one cell type over another. Our goal was to devise a strategy to mediate selective killing of tumor cells, which are often distinguished from normal cells by their higher levels of particular cell surface receptors. To test whether multivalent interactions could lead to highly specific cell targeting, we used a chemically synthesized small-molecule ligand composed of two distinct motifs: (1) an Arg-Gly-Asp (RGD) peptidomimetic that binds tightly (Kd approximately 10(-9)M) to alphavbeta3 integrins and (2) the galactosyl-alpha(1-3)galactose (alpha-Gal epitope), which is recognized by human anti-alpha-galactosyl antibodies (anti-Gal). Importantly, anti-Gal binding requires a multivalent presentation of carbohydrate residues; anti-Gal antibodies interact weakly with the monovalent oligosaccharide (Kd approximately 10(-5)M) but bind tightly (Kd approximately 10(-11) M) to multivalent displays of alpha-Gal epitopes. Such a display is generated when the bifunctional conjugate decorates a cell possessing a high level of alphavbeta3 integrin; the resulting cell surface, which presents many alpha-Gal epitopes, can recruit anti-Gal, thereby triggering complement-mediated lysis. Only those cells with high levels of the integrin receptor are killed. In contrast, doxorubicin tethered to the RGD-based ligand affords indiscriminate cell death. These results highlight the advantages of exploiting the type of the multivalent recognition processes used by physiological systems to discriminate between cells. The selectivity of this strategy is superior to traditional, abiotic, high-affinity targeting methods. Our results have implications for the treatment of cancer and other diseases characterized by the presence of deleterious cells.

Ion channels are membrane proteins expressed in almost all living cells. The sequencing of the human genome has identified more than 400 putative ion channels, but only a fraction of these have been cloned and functionally tested. The widespread tissue distribution of ion channels, coupled with the plethora of physiological consequences of their opening and closing, makes ion-channel-targeted drug discovery highly compelling. However, despite some important drugs in clinical use today, as a class, ion channels remain underexploited in drug discovery and many existing drugs are poorly selective with significant toxicities or suboptimal efficacy. This Perspective seeks to review the ion channel family, its structural and functional features, and the diseases that are known to be modulated by members of the family. In particular, we will explore the structure and properties of known ligands and consider the future prospects for drug discovery in this challenging but high potential area.

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