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Computer-aided radiopharmaceutical design.

The ultimate goal of a QSAR analysis is prediction, which depends on the elaboration of the most appropriate set of molecular descriptors. As such, molecular description is the nucleus of QSAR and in the absence of exhaustive molecular description, rational drug design may be greatly impeded. As previously discussed, computational methods such as quantum mechanics and molecular mechanics provide molecular description at a fundamental level which then enhances the descriptive capability and predictive power of a QSAR analysis. In recognition of these capabilities, semi-empirical molecular orbital methods and molecular mechanics now have been incorporated into or interphased with QSAR programs. Such integrated packages are being successfully used in computer-aided molecular modeling. Computer-aided molecular modeling can provide the three-dimensional structure of a molecule, its chemical and physical characteristics, comparisons of structures of different molecules, and visualization of complexes formed between them. From the foregoing, predictions may be made about how related new molecules may function. Thus, the combination of quantum and/or molecular mechanics and QSAR provides a formidable weapon in the chemist's armamentarium. The molecular modeling approaches are certainly more practical to use than physicochemical methods. They also provide electronic and thermodynamic data that are not available from x-ray crystallographic data. Of course, these techniques are not confined to radiopharmaceutical development and they also could aid in the development of contrast agents for radiography or magnetic resonance imaging. We believe that as computational resources and capabilities increase over the next decade, computer-aided drug design will become a standard procedure in all drug development laboratories.

Binding Sites

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

Modeling complex molecular interactions involving proteins and DNA.

We have presented a perspective of progress in three areas of simulations of complex molecules: the development of force fields for molecular simulation; the application of computer graphics, molecular mechanics and molecular dynamics in simulations of DNA and DNA-drug complexes and the application of computer graphics, molecular mechanics and quantum mechanics in studies of enzyme substrate interactions. It is our perspective that improvements are being made in force fields, and these will allow a more accurate simulation of structures and energies of complex molecules. In the area of DNA molecular mechanics and dynamics, it is clear that the use of computer graphics model building combined with NMR NOE data is a potentially very powerful tool in accurately determining structures of drug-DNA complexes using molecular mechanics and dynamics. Finally, we are in a position to reasonably simulate structures and (qualitatively) energies for complete reaction pathways of enzymes using a combination of computer graphics, molecular mechanics and quantum mechanics. More accurate energies and pathways are sure to follow, using the combined molecular mechanics/quantum mechanics optimization developed by Singh and the free energy perturbation methods pioneered in Groningen and Houston.

Base Sequence

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

Computer simulations of organic reactions in solution.

Quantum and statistical mechanics have been used to determine energy profiles for the SN2 reaction of Cl- + CH3Cl in the gas phase, in aqueous solution, and in liquid DMF. The energy profile in the gas phase has the characteristic double-well form featuring unsymmetrical ion-dipole complexes as minima and a symmetrical transition state. Hydration causes the reaction surface to become almost unimodal and increases the barrier significantly. The reaction profile in DMF is intermediate between those for the gas phase and aqueous solution. The ion-dipole complexes are still free energy minima in DMF. Thus, the reaction in DMF involves initial formation of the complex before the rate-determining step. The computed results are shown to be in good accord with experimental free energies of activation. The same technique has been applied to the addition reaction of OH- + H2C = O in the gas phase and aqueous solution. Ab initio 6-31 + G* calculations indicate that the reaction proceeds essentially without activation in the gas phase. Hydration introduces a substantial energy barrier. The transition state in water has been located at a C-O separation of roughly 2 A. A key finding for both reactions is that the activation barriers induced by hydration result primarily from change in strengths rather than in numbers of solute-water hydrogen bonds along the reaction paths.

Chemical Phenomena

A quantitative method for the detection and localization of quantum-limited events from radionuclides in cells and tissue sections by computer-enhanced video microscopy.

Cellular dynamics often involve extremely low concentrations of biologically active substances, which can be radiolabeled and detected, localized and quantitated by autoradiography. The latter may require exposures from a few days to many months. The objective of this research was to demonstrate the feasibility of reducing this long period of data collection by one to two orders of magnitude, while maintaining or improving the spatial resolution and localization in tissues and the quantitative characteristics inherent in autoradiography. A mathematical model describing the complete system was generated using energy partition calculations to estimate photon production via scintillant per H3 beta particle emission and to estimate the subsequent photon capture based upon imaging system parameters and microscope geometry. Calculations showed that, typically, a single tritium beta particle produces a maximum of 5.8 X 10(3) photons. A photon-limited camera and microscope imaging system were selected and optimized in conjunction with a specially developed physical scintillation model. Results showed that the number of detected photoevents increases monotonically with both signal integration time and, independently, with the concentration of the radionuclide. Consequently, this work demonstrates that video microscopy imaging methods can spatially and temporally quantify very low concentrations of radiolabeled substances and can reduce data acquisition times.

Beta Particles

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

The role of hydrated divalent metal ions in the bridging of two anionic groups. An ab initio quantum chemical and molecular mechanics study of dimethyl phosphate and formate bridged by calcium and magnesium ions.

Ab initio quantum chemical (Gaussian82) and molecular mechanics (AMBER2.0) computational techniques are employed to investigate the interaction of two anions (formate an dimethylphosphate) and a central divalent metal cation (magnesium or calcium). These systems are models for the essential GDP binding unit of the G-proteins (e.g., EF-Tu or the ras oncogene proteins) and for protein/phospholipid interactions, both of which are mediated by divalent metal cations. Various levels of hydration are utilized to examine coordination of differences between magnesium and calcium ions. Two different orientations of formate and dimethyl phosphate in direct ion contact with a magnesium ion and two waters of hydration were energy minimized with both quantum and molecular mechanics techniques. The structures and energy differences between the two orientations determined by either of the computational techniques are similar. Magnesium ion has a strong propensity to assume six coordination whereas calcium ion preferentially assumes a coordination greater than six. Likewise, water molecules attached to magnesium ion are held more rigidly than those of calcium ion, thus calcium ion is more accommodating in the exchange of water for negative ligands.

Calcium

Molecular modelling in design of crop protection chemicals.

Specific examples from pesticide research are given which illustrate the types of analysis employed to design optimal inhibitors for a given receptor, based on the assumption that a congeneric series of compounds behave in a related mode in the biosystem. The examples illustrate the complementary role played by computational chemistry, X-ray crystallography and computer graphics and also raise questions as to the current limitations of existing molecular mechanics and quantum mechanics techniques.

Agriculture

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

Osteoporosis: the state of the art in 1987: a review.

Osteoporosis affects approximately 15 to 20 million people in the United States and is the underlying cause of 1.3 million new fractures per year in people over age 45. The more common risk factors recognized in this disorder are older age, female sex, white race, physical inactivity, and early menopause. We now have available equipment which can measure bone density at various sites. These include single- and dual-photon densitometry, and single and dual quantitative computed tomography. These procedures are a quantum improvement over plain x-ray in the assessment of the severity of osteoporosis, but measurement at one site may not reflect the density at other sites. The value of these techniques in screening the general population for osteoporosis remains to be demonstrated. They are valuable when used to monitor patients longitudinally to assess the progression of disease and the effects of specific therapeutic regimens. There is no established effective therapy for osteoporosis so prevention is the goal. The effectiveness of different programs of physical activity in preventing bone loss and fractures is unknown but isotonic exercises three times a week for thirty minutes is recommended. There is general agreement that adequate calcium intake is important for maintenance of skeletal integrity, but there is no proof that a high dietary calcium alone will prevent osteoporosis. Estrogen therapy clearly prevents the accelerated bone loss which occurs in all white women at the time of menopause, but the question still remains who should be started on estrogens, and within what period of time after menopause are estrogens still useful in preventing postmenopausal bone loss, and for how long do we continue hormone therapy. Many questions are left to be answered but at least now osteoporosis is recognized as a major medical problem and much research is being done to answer the above questions.

Aged

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

Future in biomolecular computation.

Large-scale computations for biomolecules are dominated by three levels of theory: rigorous quantum mechanical calculations for molecules with up to about 30 atoms, semi-empirical quantum mechanical calculations for systems with up to several hundred atoms, and force-field molecular dynamics studies of biomacromolecules with 10,000 atoms and more including surrounding solvent molecules. It can be anticipated that increased computational power will allow the treatment of larger systems of ever growing complexity. Due to the scaling of the computational requirements with increasing number of atoms, the force-field approaches will benefit the most from increased computational power. On the other hand, progress in methodologies such as density functional theory will enable us to treat larger systems on a fully quantum mechanical level and a combination of molecular dynamics and quantum mechanics can be envisioned. One of the greatest challenges in biomolecular computation is the protein folding problem. It is unclear at this point, if an approach with current methodologies will lead to a satisfactory answer or if unconventional, new approaches will be necessary. In any event, due to the complexity of biomolecular systems, a hierarchy of approaches will have to be established and used in order to capture the wide ranges of length-scales and time-scales involved in biological processes. In terms of hardware development, speed and power of computers will increase while the price/performance ratio will become more and more favorable. Parallelism can be anticipated to become an integral architectural feature in a range of computers.(ABSTRACT TRUNCATED AT 250 WORDS)

Chemical Phenomena