28 research outputs found
AI is a viable alternative to high throughput screening: a 318-target study
: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery
reaxFF Reactive Force Field for Disulfide Mechanochemistry, Fitted to Multireference ab Initio Data
Mechanochemistry,
in particular in the form of single-molecule
atomic force microscopy experiments, is difficult to model theoretically,
for two reasons: Covalent bond breaking is not captured accurately
by single-determinant, single-reference quantum chemistry methods,
and experimental times of milliseconds or longer are hard to simulate
with any approach. Reactive force fields have the potential to alleviate
both problems, as demonstrated in this work: Using nondeterministic
global parameter optimization by evolutionary algorithms, we have
fitted a reaxFF force field to high-level multireference
ab initio data for disulfides. The resulting force field can be used
to reliably model large, multifunctional mechanochemistry units with
disulfide bonds as designed breaking points. Explorative calculations
show that a significant part of the time scale gap between AFM experiments
and dynamical simulations can be bridged with this approach
The Steel Scrap Age
Steel
production accounts for 25% of industrial carbon emissions.
Long-term forecasts of steel demand and scrap supply are needed to
develop strategies for how the steel industry could respond to industrialization
and urbanization in the developing world while simultaneously reducing
its environmental impact, and in particular, its carbon footprint.
We developed a dynamic stock model to estimate future final demand
for steel and the available scrap for 10 world regions. Based on evidence
from developed countries, we assumed that per capita in-use stocks
will saturate eventually. We determined the response of the entire
steel cycle to stock saturation, in particular the future split between
primary and secondary steel production.During the 21st century,
steel demand may peak in the developed
world, China, the Middle East, Latin America, and India. As China
completes its industrialization, global primary steel production may
peak between 2020 and 2030 and decline thereafter. We developed a
capacity model to show how extensive trade of finished steel could
prolong the lifetime of the Chinese steelmaking assets. Secondary
steel production will more than double by 2050, and it may surpass
primary production between 2050 and 2060: the late 21st century can
become the steel scrap age
The Roles of Energy and Material Efficiency in Meeting Steel Industry CO<sub>2</sub> Targets
Identifying strategies for reducing
greenhouse gas emissions from steel production requires a comprehensive
model of the sector but previous work has either failed to consider
the whole supply chain or considered only a subset of possible abatement
options. In this work, a global mass flow analysis is combined with
process emissions intensities to allow forecasts of future steel sector
emissions under all abatement options. Scenario analysis shows that
global capacity for primary steel production is already near to a
peak and that if sectoral emissions are to be reduced by 50% by 2050,
the last required blast furnace will be built by 2020. Emissions reduction
targets cannot be met by energy and emissions efficiency alone, but
deploying material efficiency provides sufficient extra abatement
potential
Homoleptic Lanthanide 1,2,3-Triazolates <sub>∞</sub><sup>2–3</sup>[Ln(Tz*)<sub>3</sub>] and Their Diversified Photoluminescence Properties
The series of homoleptic lanthanide
1,2,3-triazolates <sub>∞</sub><sup>3</sup>[Ln(Tz*)<sub>3</sub>] (Ln<sup>3+</sup> = lanthanide
cation, Tz*<sup>–</sup> = 1,2,3-triazolate anion, C<sub>2</sub>H<sub>2</sub>N<sub>3</sub><sup>–</sup>) is completed by synthesis
of the three-dimensional
(3D) frameworks with Ln = La, Ce, Pr, Nd, and Sm, and characterization
by X-ray powder diffraction, differential thermal analysis-thermogravimetry
(DTA/TG) investigations and molecular vibration analysis. In addition,
α-<sub>∞</sub><sup>2</sup>[Sm(Tz*)<sub>3</sub>], a two-dimensional polymorph of 3D β-<sub>∞</sub><sup>3</sup>[Sm(Tz*)<sub>3</sub>], is presented including the single crystal structure. The
3D lanthanide triazolates form an isotypic series of the formula <sub>∞</sub><sup>3</sup>[Ln(Tz*)<sub>3</sub>] ranging from La to Lu, with the exception of Eu, which forms
a mixed valent metal organic framework (MOF) of different structure
and the constitution <sub>∞</sub><sup>3</sup>[Eu(Tz*)<sub>6+<i>x</i></sub>(Tz*H)<sub>2–<i>x</i></sub>]. The main focus of this work is
put on the investigation of the photoluminescence behavior of lanthanide
1,2,3-triazolates <sub>∞</sub><sup>3</sup>[Ln(Tz*)<sub>3</sub>] and illuminates that
six different luminescence
phenomena can be found for one series of isotypic compounds. The luminescence
behavior of the majority of these compounds is based on the photoluminescence
properties of the organic linker molecules. Differing properties are
observed for <sub>∞</sub><sup>3</sup>[Yb(Tz*)<sub>3</sub>], which exhibits luminescence properties
based on charge transfer transitions between the linker and Yb<sup>3+</sup> ions, and for <sub>∞</sub><sup>3</sup>[Ce(Tz*)<sub>3</sub>] and <sub>∞</sub><sup>3</sup>[Tb(Tz*)<sub>3</sub>],
in which the luminescence properties are a combination of the ligand
and the lanthanide metal. In addition, strong inner-filter effects
are found in the ligand emission bands that are attributed to reabsorption
of the emitted light by the trivalent lanthanide ions. Antenna effects
of varying efficiency are present indicated by the energy being transferred
to the lanthanide ions subsequent to excitation of the ligand. <sub>∞</sub><sup>3</sup>[Ce(Tz*)<sub>3</sub>] shows a 5d-4f induced intense blue emission upon excitation
with UV light, while <sub>∞</sub><sup>3</sup>[Tb(Tz*)<sub>3</sub>] shows emission in the
green region of the visible spectrum, which can be identified with
4f-4f-transitions typical for Tb<sup>3+</sup> ions
Black TiO<sub>2</sub> Nanotubes: Cocatalyst-Free Open-Circuit Hydrogen Generation
Here
we report that TiO<sub>2</sub> nanotube (NT) arrays, converted by
a high pressure H<sub>2</sub> treatment to anatase-like “black
titania”, show a high open-circuit photocatalytic hydrogen
production rate without the presence of a cocatalyst. Tubes converted
to black titania using classic reduction treatments (e.g., atmospheric
pressure H<sub>2</sub>/Ar annealing) do not show this effect. The
main difference caused by the high H<sub>2</sub> pressure annealing
is the resulting room-temperature stable, isolated Ti<sup>3+</sup> defect-structure created in the anatase nanotubes, as evident from
electron spin resonance (ESR) investigations. This feature, absent
for conventional reduction, seems thus to be responsible for activating
intrinsic, cocatalytic centers that enable the observed high open-circuit
hydrogen generation
Synthesis, Structure, and Reactivity of Pentamethylcyclopentadienyl 2,4,6-Triphenylphosphinine Iron Complexes
The potassium salt [K([18]crown-6)(THF)<sub>2</sub>][Cp*Fe(η<sup>4</sup>-2,4,6-triphenylphosphinine)}]
(<b>K1</b>, Cp*
= C<sub>5</sub>Me<sub>5</sub>) can be isolated in 68% yield by reacting
the anionic naphthalene complex [K([18]crown-6){Cp*Fe(η<sup>4</sup>-C<sub>10</sub>H<sub>8</sub>)}] (C<sub>10</sub>H<sub>8</sub> = naphthalene) with 2,4,6-triphenylphosphinine. Compound <b>K1</b> reacts with water to afford [K([18]-crown-6)]{Cp*Fe(η<sup>4</sup>-2,4,6-triphenyl-2,3-dihydrophosphinine 1-oxide)}] (<b>K2</b>) with a novel 2,3-dihydrophosphinine 1-oxide ligand. Oxidation
of <b>K1</b> with one equivalent of ferrocenium hexafluorophosphate
yields the P–P-bonded diphosphinine complex [Cp*Fe(η<sup>5</sup>-2,4,6-triphenylphosphinine)]<sub>2</sub> (<b>3</b>), while the iodide salt [Cp*Fe(η<sup>6</sup>-2,4,6-triphenylphosphinine)]I
(<b>4</b>) can be obtained by reacting <b>K1</b> with
one equivalent of iodine. Reactions of <b>4</b> with LiNMe<sub>2</sub>, Cp*Li, LiBHEt<sub>3</sub>, and Ga(nacnac<sup>Dipp</sup>)
(nacnac<sup>Dipp</sup> = HC{C(Me)N(C<sub>6</sub>H<sub>3</sub>-2,6-<i>i</i>Pr<sub>2</sub>)}<sub>2</sub>) afford [Cp*Fe(η<sup>5</sup>-1-dimethylamino-2,4,6-triphenylphosphacyclohexadienyl)]
(<b>5</b>), [Cp*Fe(η<sup>5</sup>-1-(η<sup>1</sup>-Cp*)-2,4,6-triphenylphosphacyclohexadienyl)] (<b>6</b>), [Cp*Fe(η<sup>5</sup>-1-hydro-2,4,6-triphenylphosphacyclohexadienyl)]
(<b>7</b>), and [Cp*Fe((η<sup>5</sup>-1-{Ga(nacnac<sup>Dipp</sup>)I}-2,4,6-triphenylphosphacyclohexadienyl] (<b>8</b>). The molecular structures of <b>5</b>–<b>8</b> display η<sup>5</sup>-coordinated λ<sup>3</sup>σ<sup>3</sup>-phosphinine anions. All new complexes were fully
characterized by spectroscopic techniques (<sup>1</sup>H, <sup>13</sup>C, and <sup>31</sup>P NMR, UV–vis, and IR spectroscopy), elemental
analysis, and X-ray crystallography. The electronic structures of
these new phosphinine complexes were investigated theoretically at
the DFT level, using molecular orbital and population analyses. The
nature of the electronic transitions observed in the UV–vis
spectra was analyzed using TD-DFT calculations