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In this paper, we would like to figure out whether a k-inflation model admits the Bianchi type I metric as its inflationary solution under a constant-roll condition in the presence of the supergravity motivated coupling between scalar and vector fields, $f^2(\phi)F_{\mu\nu}F^{\mu\nu}$. As a result, some novel anisotropic inflationary solutions are shown to appear along with a power-law one in this scenario. Furthermore, these solutions are numerically confirmed to be attractive, in contrast to the prediction of the Hawking's cosmic no-hair conjecture., Comment: 15 pages, 11 figures. To appear in Communications in Physics (2023), a well-established physics journal of Vietnam. Comments are welcome

Aims The cosmetic industry needs new preservatives that are effective, natural, safe, cost effective, sustainable and compliant with regulatory standards. This necessity has posed challenges requiring obligations, bioinformatics and bioinspiration as driving forces. Methods and results Twenty natural extracts were selected from the Greenpharma Database with parameter filters corresponding to development constraints and antimicrobial properties. We confirmed using minimum inhibition concentration (MIC) assays that eight of the extracts have good bactericidal properties and that one has a high antifungal activity. The latter was purified hinokitiol, a bioproduct from Aomori Hiba wood. This substance provides high resistance against putrefaction; for instance, old Japanese temples were made of Aomori Hiba wood. The combination of hinokitiol with levulinic acid, another bioproduct, demonstrated complementary antimicrobial activities and synergistic effects in MIC studies and measurements according to Kull synergy index. Further, the mixture Hinoline® was tested at 2% in challenge tests and fulfilled criteria A of different standards. It also exerted complementary preservative effects with potassium sorbate and beneficial effects in unbalanced skin microbiota. Conclusion Hinoline® , a new effective preservative from renewable bio-resources, was developed. Significance and impact of study This study accelerates the development of a preservative solution for cosmetics selected from Greenpharma Database, through bioinspiration and the identification of cost-effective investments and resources.

Supplemental Digital Content is available in the text., Background: Myocardial fibrosis is a hallmark of cardiac remodeling and functionally involved in heart failure development, a leading cause of deaths worldwide. Clinically, no therapeutic strategy is available that specifically attenuates maladaptive responses of cardiac fibroblasts, the effector cells of fibrosis in the heart. Therefore, our aim was to develop novel antifibrotic therapeutics based on naturally derived substance library screens for the treatment of cardiac fibrosis. Methods: Antifibrotic drug candidates were identified by functional screening of 480 chemically diverse natural compounds in primary human cardiac fibroblasts, subsequent validation, and mechanistic in vitro and in vivo studies. Hits were analyzed for dose-dependent inhibition of proliferation of human cardiac fibroblasts, modulation of apoptosis, and extracellular matrix expression. In vitro findings were confirmed in vivo with an angiotensin II–mediated murine model of cardiac fibrosis in both preventive and therapeutic settings, as well as in the Dahl salt-sensitive rat model. To investigate the mechanism underlying the antifibrotic potential of the lead compounds, treatment-dependent changes in the noncoding RNAome in primary human cardiac fibroblasts were analyzed by RNA deep sequencing. Results: High-throughput natural compound library screening identified 15 substances with antiproliferative effects in human cardiac fibroblasts. Using multiple in vitro fibrosis assays and stringent selection algorithms, we identified the steroid bufalin (from Chinese toad venom) and the alkaloid lycorine (from Amaryllidaceae species) to be effective antifibrotic molecules both in vitro and in vivo, leading to improvement in diastolic function in 2 hypertension-dependent rodent models of cardiac fibrosis. Administration at effective doses did not change plasma damage markers or the morphology of kidney and liver, providing the first toxicological safety data. Using next-generation sequencing, we identified the conserved microRNA 671-5p and downstream the antifibrotic selenoprotein P1 as common effectors of the antifibrotic compounds. Conclusions: We identified the molecules bufalin and lycorine as drug candidates for therapeutic applications in cardiac fibrosis and diastolic dysfunction.

Drug discovery is a challenging and expensive field. Hence, novel in silico tools have been developed in early discovery stage to identify and prioritize novel molecules with suitable physicochemical properties. In many in silico drug design projects, molecular databases are screened by virtual screening tools to search for potential bioactive molecules. The preparation of the molecules is therefore a key step in the success of well-established techniques such as docking, similarity or pharmacophore searching. We review here the lists of several toolkits used in different steps during the cleaning of molecular databases, integrated within a KNIME workflow. During the first step of the automatic workflow, salts are removed, and mixtures are split to get one compound per entry. Then compounds with unwanted features are filtered. Duplicated entries are then deleted while considering stereochemistry. As a compromise between exhaustiveness and computational time, most distributed tautomers at physiological pH are computed. Additionally, various flags are applied to molecules by using either classical molecular descriptors, similarity search to known libraries or substructure search rules. Moreover, stereoisomers are enumerated depending on the unassigned chiral centers. Then, three-dimensional coordinates, and optionally conformers, are generated. This workflow has been already applied to several drug design projects and can be used for molecular database preparation upon request.

Myocardial fibrosis refers to a variety of quantitative and qualitative changes in the interstitial myocardial collagen network that occur in response to cardiac ischaemic insults, systemic diseases, drugs, or any other harmful stimulus affecting the circulatory system or the heart itself. Myocardial fibrosis alters the architecture of the myocardium, facilitating the development of cardiac dysfunction, also inducing arrhythmias, influencing the clinical course and outcome of heart failure patients. Focusing on myocardial fibrosis may potentially improve patient care through the targeted diagnosis and treatment of emerging fibrotic pathways. The European Commission funded the FIBROTARGETS consortium as a multinational academic and industrial consortium with the primary aim of performing a systematic and collaborative search of targets of myocardial fibrosis, and then translating these mechanisms into individualized diagnostic tools and specific therapeutic pharmacological options for heart failure. This review focuses on those methodological and technological aspects considered and developed by the consortium to facilitate the transfer of the new mechanistic knowledge on myocardial fibrosis into potential biomedical applications.

Public academic research sites, private institutions as well as small companies have made substantial contributions to the ongoing development of antidiabetic vanadium compounds. But why is this endeavor not echoed by the globally operating pharmaceutical companies, also known as "Big Pharma"? Intriguingly, today's clinical practice is in great need to improve or replace insulin treatment against Diabetes Mellitus (DM). Insulin is the mainstay therapeutically and economically. So, why do those companies develop potential antidiabetic drug candidates without vanadium (vanadium- free)? We gathered information about physicochemical and pharmacological properties of known vanadium-containing antidiabetic compounds from the specialized literature, and converted the data into explanations (arguments, the "pros and cons") about the underpinnings of antidiabetic vanadium. Some discoveries were embedded in chronological order while seminal reviews of the last decade about the Medicinal chemistry of vanadium and its history were also listed for further understanding. In particular, the concepts of so-called "noncomplexed or free" vanadium species (i.e. inorganic oxido-coordinated species) and "biogenic speciation" of antidiabetic vanadium complexes were found critical and subsequently documented in more details to answer the question.

Nature was and still is a prolific source of inspiration in pharmacy, cosmetics, and agro-food industries for the discovery of bioactive products. Informatics is now present in most human activities. Research in natural products is no exception. In silico tools may help in numerous cases when studying natural substances: in pharmacognosy, to store and structure the large and increasing number of data, and to facilitate or accelerate the analysis of natural products in regards to traditional uses of natural resources; in drug discovery, to rationally design libraries for screening natural compound mimetics and identification of biological activities for natural products. Here we review different aspects of in silico approaches applied to the research and development of bioactive substances and give examples of using nature-inspiring power and ultimately valorize biodiversity.

Plant extracts are widely used as cosmetic ingredients and have to be investigated to guarantee consumer safety. However, these natural products are often complex mixtures of chemicals. No animal tests can be done, in compliance with cosmetic regulations, therefore non-testing methods (NTM) could be useful for preliminary screening to address the safety of finished cosmetic products. We developed an integrated strategy (IS) to assess the genotoxic potential of ~18,000 molecules present in natural cosmetics ingredients by combining several quantitative structure-activity relationship (QSAR) models. This IS consists of a sequence of steps to formalize the expert reasoning. We also developed a new classification model based on a large dataset of compounds to clarify the outcomes that remain equivocal after the application of this strategy.

Over the past decades, virtual screening has proved itself to be a valuable asset to identify new bioactive compounds. The vast majority of commonly used techniques can be described in three steps: pre-processing the dataset i. e. small (ligands) and eventually larger (receptors) molecules, execute the method and finally analyse the results. Hence, the preparation of ligands is a critical step for success of commonly used virtual screening approaches such as protein-ligand docking, similarity or pharmacophore search. We present here a new workflow, VSPrep, for the pre-processing of small molecules; it is based on freely accessible tools for academics and is integrated within the KNIME platform. It can be used to perform several chemoinformatics tasks such as molecular database cleaning, tautomer and stereoisomer enumeration, focused library design and conformer generation. Additionally, graphical reports of the results are provided to the user as a convenient analysis tool.

Quantitative Structure-Activity Relationships (QSAR) are based on the hypothesis that changes in molecular structure reflect proportional changes in the observed response or biological activity. In order to successfully conduct QSAR studies certain conditions have to be met that are not frequently reported in the literature. This suggests that some authors are not aware of the principle flaws, occasional shortcomings, and circumstantial downsides of QSAR methods. The present paper focuses on prerequisites to set up correct models and on limitations of model applications. Their implications are systematically described and illustrated as pitfalls that have strong implications in QSAR, and possible solutions are suggested. The paper is focused on small scale 2D- and 3D-QSAR studies for lead optimization. The work is enriched with comprehensive comments and non-mathematical explanations for the computer practitioner in Medicinal Chemistry.

The insect repellent N,N-diethyl-m-toluamide (DEET) has been reported to inhibit AChE (acetylcholinesterase) and to possess potential carcinogenic properties with excessive vascularization. In the present paper, we demonstrate that DEET specifically stimulates endothelial cells that promote angiogenesis which increases tumor growth. DEET activates cellular processes that lead to angiogenesis including proliferation, migration and adhesion. This is associated with an enhancement of NO production and VEGF expression in endothelial cells. M3 silencing or the use of a pharmacological M3 inhibitor abrogates all of these effects which reveals that DEET-induced angiogenesis is M3 sensitive. The experiments involving calcium signals in both endothelial and HEK cells overexpressing M3 receptors, as well as binding and docking studies demonstrate that DEET acts as an allosteric modulator of the M3 receptor. In addition, DEET inhibited AChE which increased acetylcholine bioavailability and binding to M3 receptors and also strengthened proangiogenic effects by an allosteric modulation.

Excessive signaling by chemokines has been associated with chronic inflammation or cancer, thus attracting substantial attention as promising therapeutic targets. Inspired by chemokine-clearing molecules shaped by pathogens to escape the immune system, we designed a generic screening assay to discover chemokine neutralizing molecules (neutraligands) and unambiguously distinguish them from molecules that block the receptor (receptor antagonists). This assay, called TRIC-r, combines time-resolved intracellular calcium recordings with pre-incubation of bioactive compounds either with the chemokine or the receptor-expressing cells. We describe here the identification of high affinity neutraligands of CCL17 and CCL22, two chemokines involved in the Th2-type of lung inflammation. The decoy molecules inhibit in vitro CCL17- or CCL22-induced intracellular calcium responses, CCR4 endocytosis and human T cell migration. In vivo, they inhibit inflammation in a murine model of asthma, in particular the recruitment of eosinophils, dendritic cells and CD4+T cells. Altogether, we developed a successful strategy to discover as new class of pharmacological tools to potently control cell chemotaxis in vitro and in vivo.

Vanadate can be bioequivalent to phosphate and replace it in cellular metabolism. The detection of insulin-like activity has spurred interest in the development of oral anti-diabetic drugs containing vanadium. We collected and evaluated a vast toxicity data set and discussed molecular aspects related to insulin-mimetic effects of vanadium complexes.

The aim of reverse pharmacognosy is to find new biological targets for natural compounds by virtual or real screening and identify natural resources that contain the active molecules. To demonstrate the applicability of this concept, we report here a study on eviniferin, an active ingredient for cosmetic development. Nevertheless, this natural substance is weakly defined in terms of biological properties. SELNERGY, an inverse docking computer software, was used to identify putative binding biological targets for eviniferin. Among the 400 screened proteins two targets were retained. For cosmetic application, cyclic nucleotide phosphodiesterase 4 (PDE4) was the most interesting candidate. Moreover, other PDE subtypes (1, 2, 3, 5 and 6) were not retained, indicating a selectivity for PDE4. The experimental binding tests on the 6 subtypes of PDE revealed a significant selectivity of eviniferin for the PDE4 subtype. This selectivity was confirmed by evaluation of eviniferin on the secretion of TNF-α and Interleukin-8. Our data demonstrated that eviniferin possesses anti-inflammatory properties by inhibiting PDE4 subtype. In conclusion, reverse pharmacognosy and its inverse docking component cannot only be integrated into a program for new lead discovery but is also a useful approach to find new applications for identified compounds.

In the developed countries, life expectancy has increased dramatically, especially during the past few decades. However, in addition to living longer, people also wish to remain healthy in old age. Functional food may help to achieve this desire. Consequently, there are a lot of opportunities in the development of bioactive ingredients which promote health and wellness. Naturally, this must be achieved with consumers’ safety in mind. One possible way to balance innovation hurdle and safety is to repurpose known molecules. Candidates may be innocuous natural products from edible sources, or molecules from the Generally Recognized as Safe (GRAS) list. Here, we describe the use of reverse pharmacognosy, and particularly our in silico approach with SelnergyTM, to accelerate the discovery of new applications for existing food ingredients, either per se or as possible starting points in the development of new but related molecules. We describe examples of natural substances and GRAS flavor molecules, with an emphasis on anti-inflammatory effects.

Philippe Bernard1, Thomas Scior2, Quoc Tuan Do11Greenpharma SAS, Orléans, France; 2Pharmacy Department, Benemerita Universidad Autonoma de Puebla, Puebla, MexicoAbstract: In men, the level of testosterone decreases with age. At the skin level, the result is observed as a decrease in density and in a lower elasticity. Identifying compounds that are able to increase the level of testosterone appears to be an attractive strategy to develop new antiaging bioactive ingredients for men. Reverse pharmacognosy was successfully applied to identify new natural compounds able to modulate testosterone levels. Among several in silico hits, honokiol was retained as a candidate as it has the greatest potential to become an active ingredient. This result was then validated in vitro on aromatase and 5-alpha-reductase type 1 and 2, which are two types of enzymes implicated in the degradation of free testosterone. Indeed, honokiol was identified as an inhibitor of aromatase, with a half-maximal inhibitory concentration (IC50) of about 50 µM. In addition, honokiol was shown to be an inhibitor of 5-alpha-reductase type 1, with an IC50 of about 75 µM. Taken together, these data indicate that honokiol modulates testosterone levels, and its structure has the potential to serve as a lead for future designs of highly selective inhibitors of 5-alpha-reductase type 1.Keywords: reverse pharmacognosy, honokiol, testosterone, man cosmetics, dermopharmacy

Thomas Scior1, José Antonio Guevara-García2, FJ Melendez2, Hassan H Abdallah3, Quoc-Tuan Do4, Philippe Bernard41Facultad de Ciencias Químicas, Universidad Autónoma de Puebla, Pue, Puebla, Mexico; 2Faculty of Basic Sciences, Technology and Engineering, Laboratory of Research in Bioinorganic and Bioremediation, Universidad Autónoma de Tlaxcala, Apizaco, Tlaxcala, México; 3School of Chemical Sciences, Universiti Sains Malaysia, Penang, Malaysia; 4GreenPharma S.A., 3 Allée du Titane, Orléans, FranceAbstract: Prior to its total synthesis, a new vanadium coordination compound, called TSAG0101, was computationally designed to inhibit the enzyme protein tyrosine phosphatase 1B (PTP1B). The PTP1B acts as a negative regulator of insulin signaling by blocking the active site where phosphate hydrolysis of the insulin receptor takes place. TSAG001, [VVO2(OH)(picolinamide)], was characterized by infrared (IR) and nuclear magnetic resonance (NMR) spectroscopy; IR: ν/cm-1 3,570 (NH), 1,627 (C=O, coordinated), 1,417 (C-N), 970/842 (O=V=O), 727 δ (pyridine ring); 13C NMR: 5 bands between 122 and 151 ppm and carbonyl C shifted to 180 ppm; and 1H NMR: 4 broad bands from 7.6 to 8.2 ppm and NH2 shifted to 8.8 ppm. In aqueous solution, in presence or absence of sodium citrate as a biologically relevant and ubiquitous chelator, TSAG0101 undergoes neither ligand exchange nor reduction of its central vanadium atom during 24 hours. TSAG0101 shows blood glucose lowering effects in rats but it produced no alteration of basal- or glucose-induced insulin secretion on β cells during in vitro tests, all of which excludes a direct mechanism evidencing the extrapancreatic nature of its activity. The lethal dose (LD50) of TSAG0101 was determined in Wistar mice yielding a value of 412 mg/Kg. This value is one of the highest among vanadium compounds and classifies it as a mild toxicity agent when compared with literature data. Due to its nonsubstituted, small-sized scaffold design, its remarkable complex stability, and low toxicity; TSAG0101 should be considered as an innovative insulin-mimetic principle with promising properties and, therefore, could become a new lead compound for potential nonpeptide PTP1B inhibitors in antidiabetic drug research. In view of the present work, the inhibitory concentration (IC50) and extended solution stability will be tested.Keywords: inhibitors, PTP1B, computer assisted drug design (CADD), insulin, diabetes

International audience; Several small weight indole derivatives (D-64131, D-24851, BPR0L075, BLF 61-3, and ATI derivatives) are potent tubulin polymerization inhibitors and show nanomolar antiproliferative activity. Among them, indolobenzazepin-7-ones were recently disclosed as potent antimitotic agents. In an effort to improve this structure, we prepared new derivatives in order to evaluate their antiproliferative activity. 5,6,7,9-Tetrahydro-8H-indolo[2,3-e][3]benzazocin-8-one (1m) was found to be the most potent derivative inhibiting the cell growth of several cancer cell lines in the lower nanomolar range.

Drug repositioning strategy is an interesting approach for pharmaceutical companies; especially to increase their productivity. SELNERGY(tm) is a reverse docking based-program able to virtually screen thousands of compounds on more than 2000 3D biological targets. This program was successfully applied to tofisopam and revealed that the isomers of tofisopam are able to fit with phosphodiesterase 4. This old drug was used as a racemic mixture to treat anxiety in the eighties and was recently shown to act as a PDE4 inhibitor. Thanks to this strategy we demonstrated that tofisopam acts via the inhibition of PDE4 in the submicromolar range. Moreover, we firstly showed that the S-enantiomer of tofisopam is ten times more active than R-enantiomer. The identification of the biochemical mechanism of tofisopam isomers now allows to reposition this drug in new therapeutic indications where modulation of cAMP via PDE4 inhibitors are possible.

A series of 8-substituted pyrazolo[1,5-a]-1,3,5-triazines were considered as a bioisosteric replacement for the 9-substituted adenine derivatives resulting in the discovery of 8-(2-methoxybenzyl)-4-(N-methylamino)-2-n-propylpyrazolo[1,5-a]-1,3,5-triazine (14d) and 2-trifluoromethyl-8-(2-methoxybenzyl)-4-(N-methylamino)pyrazolo[1,5-a]-1,3,5-triazine (14e) as a new structural class of potent phosphodiesterase type 4 inhibitors (IC50 = 13 nM and 11 nM, respectively) with high isoenzyme selectivity. An original tandem of reactions involving a palladium-mediated cross-coupling reaction (PMCCR) of the readily available 8-iodo-2-methyl-4-(N-methyl-N-phenylamino)pyrazolo[1,5-a]-1,3,5-triazine (11a) and arylboronic acids or alkynes followed by the displacement of the N-methyl-N-phenylamino group constitute the key steps in a novel synthetic approach developed herein. The treatment of 11a–c with n-BuLi and selected aldehydes represents an interesting alternative to the PMCCR for the synthesis of benzylic derivatives 14a–i. Preliminary biological testing has shown that compounds 14d and 14e strongly inhibit LPS-induced TNFα release from human mononuclear cells from healthy subjects. These two compounds were selected for further biological evaluation. Some derivatives belonging to the series of pyrazolo[1,5-a]-1,3,5 triazines act as adenine bioisosteres and present potent and selective PDE4 inhibitory properties.

Reverse pharmacognosy aims at finding biological targets for natural compounds by virtual or real screening and identifying natural resources that contain the active molecules. We report herein a study focused on the identification of biological properties of meranzin, a major component isolated from Limnocitrus littoralis (Miq.) Swingle. Selnergy, an IN SILICO biological profiling software, was used to identify putative binding targets of meranzin. Among the 400 screened proteins, 3 targets were selected: COX1, COX2 and PPARgamma. Binding tests were realised for these 3 protein candidates, as well as two negative controls. The predictions made by Selnergy were consistent with the experimental results, meaning that these 3 targets can be modulated by an extract containing this compound in a suitable concentration. These results demonstrate that reverse pharmacognosy and its inverse docking component is a powerful tool to identify biological properties for natural molecules and hence for plants containing these compounds.

The aim of reverse pharmacognosy is to find new biological targets for natural compounds by virtual or real screening and identify natural resources that contain the active molecules. To demonstrate the applicability of this concept, we report here a study on epsilon-viniferin, an active ingredient for cosmetic development. Nevertheless, this natural substance is weakly defined in terms of biological properties. SELNERGY, an inverse docking computer software, was used to identify putative binding biological targets for epsilon-viniferin. Among the 400 screened proteins two targets were retained. For cosmetic application, cyclic nucleotide phosphodiesterase 4 (PDE4) was the most interesting candidate. Moreover, other PDE subtypes (1, 2, 3, 5 and 6) were not retained, indicating a selectivity for PDE4. The experimental binding tests on the 6 subtypes of PDE revealed a significant selectivity of epsilon-viniferin for the PDE4 subtype. This selectivity was confirmed by evaluation of epsilon-viniferin on the secretion of TNF-alpha and Interleukin-8. Our data demonstrated that epsilon-viniferin possesses anti-inflammatory properties by inhibiting PDE4 subtype. In conclusion, reverse pharmacognosy and its inverse docking component cannot only be integrated into a program for new lead discovery but is also a useful approach to find new applications for identified compounds.

Combinatorial chemistry and high throughput screening (HTS) led to identification of numerous in vitro active and selective hits. Nevertheless, finding in vivo active drugs remains a difficult challenge. Traditional medicine cures based on natural materials have proven useful for many populations worldwide. These huge and disperse amounts of knowledge are sometimes neglected in Western research because of great differences in the concepts of illness. We introduce here a new approach named “reverse pharmacognosy” (from diverse molecules to plants) coupled with pharmacognosy (from biodiverse plants to molecules). Reverse pharmacognosy utilizes new techniques, such as HTS, virtual screening and knowledge database with traditional usage of plants. Integrating pharmacognosy and reverse pharmacognosy in the research process, provided an efficient and rapid tool for natural drug discovery.

To exploit available structural information about the cyclooxygenase enzyme for the virtual screening of large chemical libraries, a docking-scoring protocol was tuned and validated. The screening accuracy was assessed using a series of known inhibitors and a set of diverse a priori inactive compounds that was seeded with known active ligands. The major parameters of the DOCK algorithm were investigated. A large improvement of the results was obtained on tweaking some of them. The generated complexes were rescored using six scoring functions. In this way, the striking importance of this step was demonstrated, as well as the good performances of DOCK energy and SCORE for this target. The results were further improved via a consensus approach. As a first application, a subset of a large compound library was screened using this protocol. Among the compounds that were selected for biological testing, a third of them turned out to have a significant enzyme inhibition.

Combinatorial chemistry and high-throughput screening (HTS) have led to the identification of numerous agents that are active and selective in vitro. Identifying drugs that are active in vivo, however, remains a challenge. Traditional medicinal cures based on natural materials have proven useful for many populations worldwide, representing huge and disperse tracts of knowledge that are sometimes neglected in Western research due to differences in the concepts of illness. In this review we introduce a new approach, termed 'reverse pharmacognosy' (from diverse molecules to plants), which can be coupled with pharmacognosy (from biodiverse plants to molecules). Reverse pharmacognosy utilizes new techniques, such as HTS, virtual screening and a knowledge database containing the traditional uses of plants. Integrating pharmacognosy and reverse pharmacognosy in the research process may provide an efficient and rapid tool for natural drug discovery.

The interaction of Li' with myn-inositol monophosphatase was studied by 7Li-NMR spectroscopy. Li' binding to the enzyme induces a downfield shift and broadening of the 7Li-NMR signal. Changes of the chemical shift were used to follow the titration of the enzyme with lithium and to determine a dissociation constant, Kd = (1 .0 2 0.1) mM. Only one major binding site/enzyme subunit was inferred. The complex forms independently of the presence of inorganic phosphate. Metals from the group IIa of the periodic table compete with Li' binding with the affinity increasing in the order Mg" < Ca" < Be". In contrast to lithium, their binding is enhanced by phosphate.