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Three-dimensional molecular illustrations II: Isoelectrostatic energy contour spheres of influence applied to narcotic molecules.

A computer-generated method using quantum mechanics was applied to the calculation and subsequent plotting of nonperspective three-dimensional illustrations of molecules in vacuo. The purpose was to generate isoelectrostatic energy contour spheres for larger molecules and current drugs. The molecules chosen, morphine, meperidine, and alphaprodine, possess similar pharmacological properties. Minor configurational manipulation of meperidine and alphaprodine molecules was made to approximate the spatial configuration of the rigid morphine molecule so that direct comparisons were possible. Common areas of reactivity, potential energy minima, net atomic charges, spatial regions, and near neighbor influences are considered.

Computers

Molecular electrostatic potential studies on some nitroimidazolyl and nitroheterocyclic compounds.

The electronic wave functions of 11 nitroimidazolyl and nitroheterocyclic compounds were computed using the CNDO/2 quantum chemical method. The location of the greatest nucleophilic reactivity for each molecule was predicted to be mostly near or on the nitro group. As in our previous publication (Lin Liming et al. 1985) the maximum values of the superdelocalizability index for nucleophilic reactivity S(N)max and the sum of S(N)r for each of these compounds were discovered to be significantly correlated with the radiosensitivity as indicated by log(1/C1.6), where C1.6 is the concentration of the compound required to achieve an enhancement ratio of 1.6. The electrostatic potential distribution on a plane parallel to the plane of the imidazole or heterocyclic ring was computed for these compounds with the wave functions obtained from CNDO/2 calculations. In order to analyse the steric electrostatic potential maps, the overall electrostatic potential on an imaginary surface surrounding a molecule was calculated using the multicentre multipole expansion method. It was found that a wide and deep negative potential area exists in a compound which had significant radiosensitizing efficiency, while in metronidazole, which is not an efficient radiosensitizer, the corresponding area is narrow. This phenomenon may be related to the interaction between these compounds and certain biological macromolecules. These preliminary quantum chemical results support Adams' electron affinity theory, and might be helpful in searching for new radiosensitizers.

Heterocyclic Compounds

Electromagnetic Radiation Stimulated Learning in Perovskite Nickelates.

Biological plasticity refers to the ability of synapses to strengthen or weaken over time. These adaptive properties play a fundamental role in learning and memory, spanning many orders of magnitude in timescales. Short-term plasticity (STP) arises from rapid correlative activity, while long-term plasticity (LTP) is governed by slower biochemical processes. Here, we investigate electromagnetically driven relaxation dynamics in perovskite nickelate thin films as an analogue of biological learning behaviors. By comparing radio frequency (RF), infrared (IR), visible, and ultraviolet (UV) radiation as stimuli, we find that RF excitation primarily induces STP, while visible and IR illumination lead to reversible relaxation on behavioral timescales. In contrast, UV illumination results in persistent, non-thermal changes in conductivity over extended timescales. Notably, UV-exposed nickelate films exhibit glass-like dynamics, characterized by stretched exponential relaxation and aging phenomena. The films display habituation to repeated stimuli, along with sensitization and spontaneous recovery under controlled environments. A minimal dynamical systems model captures key qualitative features of the UV-induced resistance changes. Our results demonstrate that electromagnetic frequency enables multi-timescale relaxation spanning nearly nine orders of magnitude, suggesting perovskite nickelates as promising platforms for adaptive optoelectronic hardware and for linking computational neuroscience with emerging quantum technologies.

electromagnetic radiation

Determination of electron density, mass density and calcium fraction by mass of soft and osseous tissues by dual energy CT.

Techniques of CT analysis of trabecular regions are concerned with bone mineral assessment, with considerable attention being paid to the effect of unknown fat content. Information concerning mass density and electron density might provide a more complete picture but is not normally obtained. A method for the calculation of mass and electron density, as well as the fraction of calcium by mass, is described and requires only a measurement of effective beam energy on the skin in addition to the CT numbers from a dual energy scan. The method uses the six major elements, H, C, N, O, P and Ca as compartments for the analysis and can also be applied to soft tissue by using only the first four. The calculated mass fraction of Ca is found to be sensitive to fat content and difference between surface and internal energies which can lead to serious underestimates below a fraction of about 0.04. Mass and electron density results are independent of fat content and only marginally affected by energy differences. Results were obtained with simple materials confirming mass density can be calculated to the order of 3% and electron density to considerably better than 1%.

Body Composition

AI In Leukemia Diagnostics: Complementing the Pathologist's Role.

Artificial intelligence (AI) is reshaping every stage of leukemia diagnostics, from digital morphology and multiparameter flow cytometry to next-generation sequencing, multi-omics analysis, and emerging computational frontiers such as quantum-inspired feature selection. This review outlines how contemporary AI tools can automate labor-intensive quantitation, flag diagnostically salient patterns, and standardize interpretation, while the pathologist or hematologist retains authority over validation, context-specific integration, and clinical decision-making. We present an illustrative "human-in-the-loop" workflow that embeds AI modules within current laboratory information systems, emphasizing points where expert oversight mitigates algorithmic bias and resolves discordant findings. We further map the validator-integrator role across morphology, flow cytometry, and genomic/multi-omic interpretation and provide practical training competencies and use cases for AI-assisted hematopathology. Beyond technical deployment, the article addresses the educational transformation required for sustainable adoption. Drawing on international competency frameworks, including the Digital Health Competencies in Medical Education Framework and recently proposed AI-specific Entrustable Professional Activities, we map core skills that future hematopathologists must master: data-science literacy, critical appraisal of AI outputs, and ethical governance. We highlight evaluated training models such as the Pathology Informatics Essentials for Residents curriculum, Stanford Artificial Intelligence in Machine and Imaging workshops, and College of American Pathologists bootcamps and propose integration strategies adaptable across resource settings. By pairing rigorous validation with targeted education, AI can elevate rather than eclipse the diagnostic role of the leukemia specialist, enabling more timely, reproducible, and personalized patient care.

Humans

Molecular structure and dynamics of cis(Z)-and trans(E)-flupenthixol and clopenthixol.

The three-dimensional structures and molecular electrostatic potentials of the cis(Z) and trans(E)-isomers of flupenthixol and clopenthixol were examined by computer graphics and molecular mechanical and quantum mechanical calculations, and their internal molecular motions were studied by molecular dynamics simulations in vacuo and in aqueous solution. The simulations demonstrated that both the side chains and the tricyclic ring systems of clopenthixol and flupenthixol are highly flexible. The angle between the two phenyl ring planes varied between 105 and 171 degrees during the simulations in solution. The electrostatic potentials around the 2-substituent were significantly more negative in the trans(E)-isomers than in the cis(Z)-isomers. The stronger negative potentials may weaken electrostatic receptor interactions and, thereby, cause the trans(E)-isomers to be less active than cis(Z)-isomers. Differences both in three-dimensional structure and in electronic structure may cause the difference in pharmacological activity between cis(Z)- and trans(E)-thioxanthenes.

Clopenthixol

Three-dimensional structure and molecular dynamics of cis(Z)- and trans(E)-chlorprothixene.

cis(Z)-Chlorprothixene has antidopaminergic potency, while trans(E)-chlorprothixene is virtually inactive. In order to reveal the structural features causing the difference in activity, the three-dimensional molecular and electronic structures of cis(Z)- and trans(E)-chlorprothixene were examined by computer graphics and molecular mechanical and quantum mechanical calculations. The internal molecular motions of the isomers were studied by molecular dynamics simulations in vacuo and in aqueous solution. The cis(Z)-isomer had lower potential molecular energy than the trans(E)-isomer, mainly due to electrostatic interactions within the side-chain and between the dimethylamino group and the chlorine atom. During molecular dynamics simulations in aqueous solution, the side-chain of the trans(E)-isomer stayed closer to the central S-C axis of the ring system than did the side-chain of the cis(Z)-isomer. The molecular electrostatic potentials were significantly lower in the vicinity of the chlorine atom in the trans(E)- than in the cis(Z)-isomer. Differences in molecular electrostatic potentials and in three-dimensional structure are suggested to be the main reasons for the difference in pharmacological activities of cis(Z)- and trans(E)-chlorprothixene.

Chlorprothixene

On the suitability of semiempirical calculations as sources of force field parameters.

The suitability of Dewar's Hamiltonians as a source of bonded force field parameters is explored from the comparison analysis between up to 270 semiempirically derived force field parameters and experimentally derived values reported in some of the most popular force fields. From the statistical analysis of the results, some general conclusions about the semiempirical parametrization are formulated.

Mathematical Computing

Dynamic control of inositol 1,4,5-trisphosphate-induced Ca2+ release: a theoretical explanation for the quantal release of Ca2+.

A theoretical model has been elaborated in order to describe the kinetics of Ca2+ release induced by inositol 1,4,5-trisphosphate (IP3). The model is based on the existence of a key molecule that controls the interconversion of open and closed forms of the Ca2+ channel. The model can quantitatively explain the previously obtained experimental observations that showed that a continuous IP3 stimulus leads to a biphasic Ca2+ release and that successive IP3 additions provoke repetitive bursts of Ca2+ release. Other published interpretations of these observations are discussed.

Calcium

Nonlinear polychromatic and noise artifacts in x-ray computed tomography images.

The variance of the image noise in computed X-ray transmission tomography (CT) due to quantum noise is in a first approximation a nonlinear function of X-ray attenuation. Beam hardening in CT is also a nonlinear function of attenuation. We present a theoretical study of both phenomena. Computer simulations and numerical results show that both nonlinear dependencies have quite similar effects on image quality. We also show how the two-dimensional distribution of the noise variance in a CT image is a weighted superposition of images obtained by backprojecting integer powers of the noiseless projection data corresponding to the scanned object. The streak-like pattern in the image noise due to the anisotropic nature of the noise cross-correlation function is discussed. We also discuss how these nonlinear phenomena affect noise filtering and tissue characterization using statistical parameters.

Electronics, Medical

Computer-assisted structure-activity studies of chemical carcinogens. A heterogeneous data set.

A structure-activity relations study has been performed on a heterogeneous set of organic compounds to develop predictive ability for carcinogenic potential. The compounds employed came from more than 12 structural classes and numbered 130 carcinogens and 79 noncarcinogens. A set of 28 calculated molecular structure descriptors was identified that supported a linear discriminant function able to completely separate 192 compounds into the carcinogenic and noncarcinogenic classes. A predictive ability of 90% for carcinogens and 78% for noncarcinogens was obtained in randomized testing. The results demonstrate that pattern-recognition methods can be used to analyze a diverse set of compounds each represented by calculated molecular structure descriptors for a common biological activity.

Carcinogens

Quantum mechanics and cellular information processing: the self-assembly paradigm.

Biological cells have greater information processing efficiency than the programmable computers used to model them. In part this is due to the larger number of interactions that can contribute to function. General arguments suggest that systems in which quantum features play a prominent role are more powerful than classical physical-dynamical analogs. A hypothetical model, involving macromolecular self-assembly, is used to illustrate how the parallelism inherent in the quantum mechanical wave function could play a role in cellular pattern processing. Signals impinging on the external membrane of the cell trigger the release of specifically shaped macromolecules. These aggregate into a mosaic shape features that reflect different groupings of the signal input patterns. The shape features are in turn read out and connected to effector actions by adaptor molecules. The self-assembly model fits into a more general hierarchical scheme of biological information processing in which macroscopic signals are transduced to mesoscopic and then microphysical representations, processed largely at the microphysical level, and then amplified for macroscopic action. The physical dynamics are controlled by proteins and other macromolecules that are molded through the evolutionary process of variation and selection. The organizational requirements for evolutionary moldability and for efficient information processing function are completely consistent. They include high dimensionality, multiplicity of weak interactions, and hierarchical-compartmental structure.

Biological Evolution

Characterization of functional interactions of imidazoquinoxaline derivatives with benzodiazepine-gamma-aminobutyric acidA receptors.

U-78875 [imidazo[1,5-a]quinoxalin-4(5H)-one, 3-(5-cyclopropyl-1,2,4-oxadiazol-3-yl)-5-(1-methylethyl)] belongs to a series of imidazoquinoxaline derivatives, recently discovered ligands with high affinity for benzodiazepine receptors. In this study, we have examined the drug and its analogs for their modes of interaction with the receptors, with a particular emphasis on finding molecular determinants for their functional properties. Changes in the substituents on N5 and C6 of the heterocyclic ring produced no major effects on binding characteristics but yielded drugs of widely varying efficacy (antagonist to full agonist), measured as gamma-aminobutyric acid (GABA)-mediated 36Cl- uptake and t-butylbicyclophosphoro[35S]thionate binding in rat cerebrocortical membranes. The relative binding affinity and efficacy of the analogs measured in brain membranes were similar to those in cloned GABAA receptors of the alpha 1 beta 2 gamma 2 (type I) and alpha 3 beta 2 gamma 2 (type II) subtypes. The imidazoquinoxalines showed no marked subtype selectivity. Their Ki value against [3H]flunitrazepam binding for type I was only 2-3 times lower than that for type II, and their rank order for agonistic activity was the same in the two subtypes, measured as GABA-mediated Cl- currents in human kidney cells (A293) expressing the subtypes of GABAA receptors. According to computational modeling of the drugs using both molecular and quantum mechanics, the agonistic activity of the imidazoquinoxaline derivatives depends on the presence of a bulky alkyl substituent at N5 and the deformation of the substituted portion of the otherwise planar ring system induced by a bulky moiety at N5 or C6. With a fixed N5 substituent (isopropyl), the relative efficacy in the brain membranes, as well as in the cloned receptors, appeared to be dependent on the degree of the ring deformation. This out-of-plane portion of the imidazoquinoxalines can be assigned to the general region occupied by the 5-phenyl group of diazepam and other agonistic functional groups of several nonbenzodiazepine ligands. It seems that this region, apparently common to various agonistic ligands, interacts with an agonistic pocket in type I and type II subtypes of the benzodiazepine receptors in the brain. Our results also provide direct support for the view that the agonists and nonagonists share largely overlapping binding regions in the benzodiazepine receptor, which has been proposed earlier from in vivo efficacy measurements of other series of ligands.

Animals

The implementation of ab initio quantum chemistry calculations on transporters.

The RHF and geometry optimization sections of the ab initio quantum chemistry code, GAMESS, have been optimized for a network of parallel microprocessors, Inmos T800-20 transputers, using both indirect and direct SCF techniques. The results indicate great scope for implementation of such codes on small parallel computer systems, very high efficiencies having been achieved, particularly in the cases of direct SCF and geometry optimization with large basis sets. The work, although performed upon one particular parallel system, the Meiko Computing Surface, is applicable to a wide range of parallel systems with both shared and distributed memory.

Computers

Three-dimensional molecular illustrations I: Isoelectron density contours and isoelectrostatic energy contours.

A method of depicting dimensional illustrations of molecules in vacuo that are sensitive to small electronic perturbations was attempted. This method would be useful in determining the effects of either perturbing groups from other molecules or changes produced by the addition or modification of an existing atom or chemical group on the same molecule. Isoelectron density contours for small molecules such as benzene, ammonia, and formaldehyde were first considered using the CNDO/2 molecular approximation method and then extended to the use of deorthogonalized CNDO/2 eigenvectors. These methods were similar in molecular projections but insensitive to electronic alterations. Therefore, the electrostatic potential energy was considered in developing contour surfaces of several of the molecules studied. In this case, acute and visually discernible changes were evidenced by electron exchange in the three-dimensional illustration of formaldehyde. The effect on the two-dimensional contour map of ammonia was strikingly altered by the addition of a proton, further substantiating the sensitivity of electrostatic contours to perturbing influences. These methods are considered and amplified in this report.

Ammonia