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DeepMind presented remarkably accurate predictions at the recent CASP14 protein structure prediction assessment conference. We explored network architectures incorporating related ideas and obtained the best performance with a three-track network in which information at the 1D sequence level, the 2D distance map level, and the 3D coordinate level is successively transformed and integrated. The three-track network produces structure predictions with accuracies approaching those of DeepMind in CASP14, enables the rapid solution of challenging X-ray crystallography and cryo-EM structure modeling problems, and provides insights into the functions of proteins of currently unknown structure. The network also enables rapid generation of accurate protein-protein complex models from sequence information alone, short circuiting traditional approaches which require modeling of individual subunits followed by docking. We make the method available to the scientific community to speed biological research.

Intramolecular quenching of tryptophan fluorescence by protein functional groups was studied in a series of rigid cyclic hexapeptides containing a single tryptophan. The solution structure of the canonical peptide c[D-PpYTFWF] (pY, phosphotyrosine) was determined in aqueous solution by 1D- and 2D-(1)H NMR techniques. The peptide backbone has a single predominant conformation. The tryptophan side chain has three chi(1) rotamers: a major chi(1) = -60 degrees rotamer with a population of 0.67, and two minor rotamers of equal population. The peptides have three fluorescence lifetimes of about 3.8, 1.8, and 0.3 ns with relative amplitudes that agree with the chi(1) rotamer populations determined by NMR. The major 3.8-ns lifetime component is assigned to the chi(1) = -60 degrees rotamer. The multiple fluorescence lifetimes are attributed to differences among rotamers in the rate of excited-state electron transfer to peptide bonds. Electron-transfer rates were calculated for the six preferred side chain rotamers using Marcus theory. A simple model with reasonable assumptions gives excellent agreement between observed and calculated lifetimes for the 3.8- and 1.8-ns lifetimes and assigns the 1.8-ns lifetime component to the chi(1) = 180 degrees rotamer. Substitution of phenylalanine by lysine on either side of tryptophan has no effect on fluorescence quantum yield or lifetime, indicating that intramolecular excited-state proton transfer catalyzed by the epsilon-ammonium does not occur in these peptides.

An iterative density modification procedure for improving maps produced by single-particle electron cryo-microscopy is presented. The theoretical basis of the method is identical to that of maximum-likelihood density modification, previously used to improve maps from macromolecular X-ray crystallography. Two key differences from applications in crystallography are that the errors in Fourier coefficients are largely in the phases in crystallography but in both phases and amplitudes in electron cryo-microscopy , and that half-maps with independent errors are available in electron cryo-microscopy . These differences lead to distinct approaches for combination of information from starting maps with that obtained in the density modification process. The applicability of density modification theory to electron cryomicroscopy was evaluated using half-maps for apoferritin at a resolution of 3.1 Å and a matched 1.8 Å reference map. Error estimates for the map obtained by density modification were found to closely agree with true errors as estimated by comparison with the reference map. The density modification procedure was applied to a set of 54 datasets where half-maps, a full map and a model all had been deposited. The procedure improved map resolution (the resolution at which the map-model Fourier shell correlation dropped to ½) by an average of 0.26 Å (standard deviation of 0.12 Å) and increased the visibility of details in the maps. The procedure requires only two unmasked half-maps and a sequence file or other source of information on the volume of the macromolecule that has been imaged.

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Cdc42Hs, a member of the Ras superfamily of GTP-binding signal transduction proteins, binds guanine nucleotides, and acts as a molecular-timing switch in multiple signal transduction pathways. The structure of the wild-type protein has been solved (Feltham et al. (1997) Biochemistry 36, 8755-8766), and the backbone dynamics have been characterized by NMR spectroscopy (Loh et al. (1999) Biochemistry 38, 12547-12557). The F28L mutation of Cdc42Hs is characterized by an increased rate of cycling between the GTP and GDP-bound forms leading to cell transformation (Lin et al. (1997) Curr. Biol. 7, 794-797). Here, we describe the backbone dynamics of Cdc42Hs(F28L)-GDP using 1H-15N NMR measurements of T1, T1rho, and steady-state NOE at two magnetic field strengths. Residue-specific values of the generalized order parameters (Ss2 and Sf2), local correlation time (tau(e)), and exchange rate (R(ex)) were obtained using the Lipari-Szabo formalism. Chemical-shift perturbation analysis suggested that very little structural change was evident outside of the nucleotide-binding site. However, residues comprising the nucleotide-binding site, as well as the nucleotide itself, exhibit increased dynamics over a wide range of time scales in Cdc42Hs(F28L) relative to the wild type. In addition to changes in dynamics measured by relaxation methods, hydrogen-deuterium exchange indicated a substantial disruption of the hydrogen-bonding network within the nucleotide-binding site. Thus, local dynamic changes introduced by a single-point mutation can affect important aspects of signaling processes without disrupting the conformation of the whole protein.

Contamination from anthropogenic activities has significantly impacted Earth’s biosphere. However, knowledge about how environmental contamination affects the biodiversity of groundwater microbiomes and ecosystem functioning remains very limited. Here, we used a comprehensive functional gene array to analyze groundwater microbiomes from 69 wells at the Oak Ridge Field Research Center (Oak Ridge, TN), representing a wide pH range and uranium, nitrate, and other contaminants. We hypothesized that the functional diversity of groundwater microbiomes would decrease as environmental contamination (e.g., uranium or nitrate) increased or at low or high pH, while some specific populations capable of utilizing or resistant to those contaminants would increase, and thus, such key microbial functional genes and/or populations could be used to predict groundwater contamination and ecosystem functioning. Our results indicated that functional richness/diversity decreased as uranium (but not nitrate) increased in groundwater. In addition, about 5.9% of specific key functional populations targeted by a comprehensive functional gene array (GeoChip 5) increased significantly (P < 0.05) as uranium or nitrate increased, and their changes could be used to successfully predict uranium and nitrate contamination and ecosystem functioning. This study indicates great potential for using microbial functional genes to predict environmental contamination and ecosystem functioning.