Influence of plant growth-promoting bacteria on leaf carbon and nitrogen metabolism of two drought-stressed neotropical tree species: a metabolomic approach.

Deforestation of Atlantic Forest has caused prolonged drought events in the last decades. The need for reforestation is growing, and the development of native seedlings that are more tolerant to drought stress is necessary. A biotechnological tool that improves plant tolerance is the use of plant growth-promoting bacteria (PGPB) as inoculants. Two species of PGPB were inoculated in drought-stressed seedlings of two neotropical tree species that have been used in environmental restoration programs: Cecropia pachystachya and Cariniana estrellensis. Biometrical, physiological, and metabolomic parameters from carbon and nitrogen pathways were evaluated. We found that the PGPB positively influenced photosynthesis and growth parameters in both trees under drought. The enzymes activities, the tricarboxylic acid cycle intermediates, the amino acids, and protein contents were also influenced by the PGPB treatments. The results allowed us to find the specific composition of secondary metabolites of each plant species. This study provides evidence that there is not a single mechanism involved in drought tolerance and that the inoculation with PGPB promotes a broad-spectrum tolerance response in Neotropical trees. The inoculation with PGPB appears as an important strategy to improve drought tolerance in Atlantic Forest native trees and enhance environmental restoration programs' success. MAIN CONCLUSION: The association with plant growth-promoting bacteria improved the tolerance to drought in Neotropical trees through biochemical, physiological, and biometrical parameters. This can enhance the success of forest restoration programs.

Machine Learning-Based Virtual Screening of Antibacterial Agents against Methicillin-Susceptible and Resistant Staphylococcus aureus.

The application of computer-aided drug discovery (CADD) approaches has enabled the discovery of new antimicrobial therapeutic agents in the past. The high prevalence of methicillin-resistantStaphylococcus aureus(MRSA) strains promoted this pathogen to a high-priority pathogen for drug development. In this sense, modern CADD techniques can be valuable tools for the search for new antimicrobial agents. We employed a combination of a series of machine learning (ML) techniques to select and evaluate potential compounds with antibacterial activity against methicillin-susceptible S. aureus (MSSA) and MRSA strains. In the present study, we describe the antibacterial activity of six compounds against MSSA and MRSA reference (American Type Culture Collection (ATCC)) strains as well as two clinical strains of MRSA. These compounds showed minimal inhibitory concentrations (MIC) in the range from 12.5 to 200 µM against the different bacterial strains evaluated. Our results constitute relevant proven ML-workflow models to distinctively screen for novel MRSA antibiotics.

Transformer-based models for ICD-10 coding of death certificates with Portuguese text.

Natural Language Processing (NLP) can offer important tools for unlocking relevant information from clinical narratives. Although Transformer-based models can achieve remarkable results in several different NLP tasks, these models have been less used in clinical NLP, and particularly in low resource languages, of which Portuguese is one example. It is still not entirely clear whether pre-trained Transformer models are useful for clinical tasks, without further architecture engineering or particular training strategies. In this work, we propose a BERT model to assign ICD-10 codes for causes of death, by analyzing free-text descriptions in death certificates, together with the associated autopsy reports and clinical bulletins, from the Portuguese Ministry of Health. We used a novel pre-training procedure that incorporates in-domain knowledge, and also a fine-tuning method to address the class imbalance issue. Experimental results show that, in this particular clinical task that requires the processing of relatively short documents, Transformer-based models can achieve very strong results, significantly outperforming tailored approaches based on recurrent neural networks.

Integrating High-Resolution and Solid-State Magic Angle Spinning NMR Spectroscopy and a Transcriptomic Analysis of Soybean Tissues in Response to Water Deficiency.

INTRODUCTION: Solid-state NMR (SSNMR) spectroscopy methods provide chemical environment and ultrastructural details that are not easily accessible by other non-destructive, high-resolution spectral techniques. High-resolution magic angle spinning (HR-MAS) has been widely used to obtain the metabolic profile of a heterogeneous sample, combining the resolution enhancement provided by MAS in SSNMR with the shimming and locking procedures in liquid-state NMR. OBJECTIVE: In this work, we explored the feasibility of using the HR-MAS and SSNMR techniques to identify metabolic changes in soybean leaves subjected to water-deficient conditions. METHODOLOGY: Control and water-deficient soybean leaves were analysed using one-dimensional (1D) HR-MAS and SSNMR. Total RNA was extracted from the leaves for the transcriptomic analysis. RESULTS: The 1 H HR-MAS and CP-MAS 13 C{1 H} spectra of soybean leaves grown with and without water deficiency stress revealed striking differences in metabolites. A total of 30 metabolites were identified, and the impact of water deficiency on the metabolite profile of soybean leaves was to induce amino acid synthesis. High expression levels of genes required for amino acid biosynthesis were highly correlated with the compounds identified by 1 H HR-MAS. CONCLUSIONS: The integration of the 1 H HR-MAS and SSNMR spectra with the transcriptomic data provided a complete picture of the major changes in the metabolic profile of soybeans in response to water deficiency. Copyright © 2017 John Wiley & Sons, Ltd.

NMR Fingerprinting of Conventional and Genetically Modified Soybean Plants with AtAREB1 Transcription Factors.

Drought stress impacts soybean yields and physiological processes. However, the insertion of the activated form of the AtAREB1 gene in the soybean cultivar BR16, which is sensitive to water deficit, improved the drought response of the genetically modified plants. Thus, in this study, we used 1H NMR in solution and solid-state NMR to investigate the response of genetically modified soybean overexpressing AtAREB1 under water deficiency conditions. We achieved that drought-tolerant soybean yields high content of amino acids isoleucine, leucine, threonine, valine, proline, glutamate, aspartate, asparagine, tyrosine, and phenylalanine after 12 days of drought stress conditions, as compared to drought-sensitive soybean under the same conditions. Specific target compounds, including sugars, organic acids, and phenolic compounds, were identified as involved in controlling sensitive soybean during the vegetative stage. Solid-state NMR was used to study the impact of drought stress on starch and cellulose contents in different soybean genotypes. The findings provide insights into the metabolic adjustments of soybean overexpressing AREB transcription factors in adapting to dry climates. This study presents NMR techniques for investigating the metabolome of transgenic soybean plants in response to the water deficit. The approach allowed for the identification of physiological and morphological changes in drought-resistant and drought-tolerant soybean tissues. The findings indicate that drought stress significantly alters micro- and macromolecular metabolism in soybean plants. Differential responses were observed among roots and leaves as well as drought-tolerant and drought-sensitive cultivars, highlighting the complex interplay between overexpressed transcription factors and drought stress in soybean plants.

Europium(III) tetrakis(ß-diketonate) complex as an ionic liquid: a calorimetric and spectroscopic study.

An intrinsic photoluminescent ionic liquid based on europium(III) tetrakis(ß-diketonate) complex with a tetraalkylphosphonium as counterion was synthesized. Calorimetric measurements showed a melting point at 63 °C, which allows the ionic liquid classification. When cooling the material from the liquid state, metastable supercooled ionic liquid is obtained, as seen from NMR spectroscopy as well. Eu(III) photoluminescence is clearly observed while the absorption spectra of the ligand is dominant, showing the antenna effect. This was confirmed with submicrosecond time scale luminescence spectroscopy, where a rise of Eu(III) emission is observed with the correspondent decay of the ligand excited state. Temperature effects in the photoluminescence are also shown, being prominent above the melting point where the intensity decreases with Arrhenius behavior. Eu(III) luminescence decays also show features characteristic of energy migration between homologue Eu(III) species. Solvent effects were also studied by NMR and Luminescence spectroscopies, highlighting that the nucleophilicity of organic solvents such as n-alcohols leads to a coordination with Eu(III), which ultimately compromises the stability of the complex.

Distinct regulation of p53-mediated apoptosis by protein kinase Cα, δ, ε and ζ: Evidence in yeast for transcription-dependent and -independent p53 apoptotic mechanisms.

The role of individual protein kinase C (PKC) isoforms in the regulation of p53-mediated apoptosis is still uncertain. Using yeast cells co-expressing the human wild-type p53 and a single mammalian PKCα, δ, ε or ζ, we showed a differential regulation of p53-mediated apoptosis by these PKC isoforms. Whereas PKCα and ζ had no effect on p53 activity, PKCδ and ε stimulated a p53-mediated mitochondria-dependent apoptosis. Moreover, using pifithrin-α and -µ, selective inhibitors of p53 transcriptional activity and mitochondrial p53 translocation, respectively, we showed the activation of a transcription-dependent and -independent p53-mediated apoptosis by PKCδ and ε. The activation of mitochondrial p53 translocation by PKCδ and ε was further confirmed by immunofluorescence and Western blot analysis. Together, this work reveals the conservation in yeast of functional transcription-dependent and -independent p53 apoptotic mechanisms. Furthermore, it gives mechanistic insights about the regulation of p53-mediated apoptosis by PKCδ and ε through modulation of p53 transcriptional activity and of its translocation to mitochondria. Finally, it underscores a major role of PKCδ and ε as positive regulators of p53-mediated apoptosis, and therefore as promising therapeutic targets in cancer.

Metabolic alterations in conventional and genetically modified soybean plants with GmDREB2A;2 FL and GmDREB2A;2 CA transcription factors during water deficit.

Water deficit is one of the main abiotic stress that affects plant growth and productivity. The GmDREB2A;2 (Glyma14g06080) gene is an important transcription factor involved in regulating the plants' responses under water deficit. In previous studies, soybean plants overexpressing full-length (GmDREB2A;2 FL) and constitutively active (GmDREB2A;2 CA) forms of the GmDREB2A;2 gene, presented higher tolerance to water deficit when compared with the conventional cultivar BRS 283. Therefore, identifying the changes in metabolite profile in these tolerant genotypes can contribute to the understanding of the metabolic pathways involved in the tolerance mechanism. In this work, the metabolic changes in roots and leaves of genetically modified (GM) soybean plants subjected to water deficit were elucidated by 1H-NMR spectroscopy. Three events were analyzed, one containing the gene in FL form (GmDREB2A;2 FL) and two presenting its CA form (GmDREB2A;2 CA-1 and GmDREB2A;2 CA-2) and compared with the conventional cultivar BRS 283. The results indicated different responses between leaves and roots for all genotypes. Most of these metabolic variations were related to carbohydrate and amino acid pathways. BRS 283 stood out with higher accumulation of amino acids in leaves under water deficit. The results also showed that the events GmDREB2A;2 FL and GmDREB2A;2 CA-1 presented higher concentrations of ß-glucose and fructose in leaves, whereas BRS 283 accumulated more sucrose and pinitol. In roots, the GM events accumulated higher ß-glucose, fructose, asparagine and phenylalanine, when compared with the conventional cultivar. These insights can add information on how the transcription factor (TF) DREB2A acts in soybean plants triggering and controlling a network of complex responses to drought.

Rapid method for testing the susceptibility of Aspergillus fumigatus to amphotericin B, itraconazole, voriconazole and posaconazole by assessment of oxygen consumption.

OBJECTIVES: Antifungal stress conditions affect fungal germination and growth. The assessment of oxygen consumption resulting from the challenge of Aspergillus fumigatus conidia with antifungal agents might be predictive of the susceptibility of this species to the agents evaluated. METHODS: The antifungal susceptibilities of A. fumigatus to amphotericin B, itraconazole, voriconazole and posaconazole were evaluated for 20 clinical strains by two methods: the rapid assessment of oxygen consumption and the CLSI M38-A2 microdilution method. For the determination of oxygen consumption, conidia were suspended in RPMI 1640 medium with two different concentrations of each antifungal drug (0.25 and 2 mg/L); the oxygen consumption was quantified in a biological oxygen monitor. RESULTS: A. fumigatus strains showed a wide spectrum of amphotericin B, itraconazole and voriconazole MICs (0.06 to >16 mg/L), but posaconazole MICs ranged from 0.06 to 1 mg/L. Distinct respiratory kinetics, which corresponded to the MIC results, were found. Strains with the highest itraconazole and voriconazole MICs grew faster, undoubtedly consuming the oxygen available in the liquid medium. The reproducibility of this new method was adequate (87%), as well as the agreement with the CLSI method (85%). CONCLUSIONS: Although the potential of this new and rapid method (4-8 versus 48 h CLSI method) for evaluating the susceptibility of A. fumigatus to the antifungal agents has been demonstrated by these preliminary results, further collaborative studies with more isolates should better assess the value of this methodology for testing isolates in the clinical laboratory.

Identification of primary and secondary metabolites and transcriptome profile of soybean tissues during different stages of hypoxia.

NMR and chromatography methods combined with mass spectrometry are the most important analytical techniques employed for plant metabolomics screening. Metabolomic analysis integrated to transcriptome screening add an important extra dimension to the information flow from DNA to RNA to protein. The most useful NMR experiment in metabolomics analysis is the proton spectra due the high receptivity of 1H and important structural information, through proton-proton scalar coupling. Routinely, databases have been used in identification of primary metabolites, however, there is currently no comparable data for identification of secondary metabolites, mainly, due to signal overlap in normal 1H NMR spectra and natural variation of plant. Related to spectra overlap, alternatively, better resolution can be find using 1H pure shift and 2D NMR pulse sequence in complex samples due to spreading the resonances in a second dimension. Thus, in data brief we provide a catalogue of metabolites and expression levels of genes identified in soy leaves and roots under flooding stress.

Characterization of new exopolysaccharide production by Rhizobium tropici during growth on hydrocarbon substrate.

Exopolysaccharide (EPS) are produced by a diverse of rhizobia species and has been demonstrated to be a bioemulsifier with potential applications in the degradation of hydrocarbons. In the present study, attempts were made to obtain the new exopolysaccharide production by Rhizobium tropici (SEMIA 4080 and MUTZC3) strains during growth on hydrocarbon substrate. Under the different cultivation conditions, the high molecular weight exopolysaccharides from Rhizobium tropici strains cultivated for 96h mainly consisted of carbohydrates (79-85%) and a low percentage of protein. The EPSC3-D differed from the others, with only 60% of carbohydrate. However, all strains produced polymers with distinct rheology properties, such as viscosity of each EPS sample, suitable for different applications. In addition, RP-HPLC, FTIR and NMR studies revealed EPS produced by rhizobia strains were similar indicating minimal difference between EPS compositions.

Novel Androgen Receptor Coregulator GRHL2 Exerts Both Oncogenic and Antimetastatic Functions in Prostate Cancer.

Alteration to the expression and activity of androgen receptor (AR) coregulators in prostate cancer is an important mechanism driving disease progression and therapy resistance. Using a novel proteomic technique, we identified a new AR coregulator, the transcription factor Grainyhead-like 2 (GRHL2), and demonstrated its essential role in the oncogenic AR signaling axis. GRHL2 colocalized with AR in prostate tumors and was frequently amplified and upregulated in prostate cancer. Importantly, GRHL2 maintained AR expression in multiple prostate cancer model systems, was required for cell proliferation, enhanced AR's transcriptional activity, and colocated with AR at specific sites on chromatin to regulate genes relevant to disease progression. GRHL2 is itself an AR-regulated gene, creating a positive feedback loop between the two factors. The link between GRHL2 and AR also applied to constitutively active truncated AR variants (ARV), as GRHL2 interacted with and regulated ARVs and vice versa. These oncogenic functions of GRHL2 were counterbalanced by its ability to suppress epithelial-mesenchymal transition and cell invasion. Mechanistic evidence suggested that AR assisted GRHL2 in maintaining the epithelial phenotype. In summary, this study has identified a new AR coregulator with a multifaceted role in prostate cancer, functioning as an enhancer of the oncogenic AR signaling pathway but also as a suppressor of metastasis-related phenotypes. Cancer Res; 77(13); 3417-30. ©2017 AACR.

Androgen receptor signaling in castration-resistant prostate cancer: a lesson in persistence.

The androgen receptor (AR) signaling axis drives all stages of prostate cancer, including the lethal, drug-resistant form of the disease termed castration-resistant prostate cancer (CRPC), which arises after failure of androgen deprivation therapy (ADT). Persistent AR activity in spite of ADT and the second-generation AR-targeting agents enzalutamide and abiraterone is achieved in many cases by direct alterations to the AR signaling axis. Herein, we provide a detailed description of how such alterations contribute to the development and progression of CRPC. Aspects of this broad and ever-evolving field specifically addressed in this review include: the etiology and significance of increased AR expression; the frequency and role of gain-of-function mutations in the AR gene; the function of constitutively active, truncated forms of the AR termed AR variants and the clinical relevance of alterations to the activity and expression of AR coregulators. Additionally, we examine the novel therapeutic strategies to inhibit these classes of therapy resistance mechanisms, with an emphasis on emerging agents that act in a manner distinct from the current ligand-centric approaches. Throughout, we discuss how the central role of AR in prostate cancer and the constant evolution of the AR signaling axis during disease progression represent archetypes of two key concepts in oncology, oncogene addiction and therapy-mediated selection pressure.

Metabolite Profiling of Sugarcane Genotypes and Identification of Flavonoid Glycosides and Phenolic Acids.

Sugarcane is an important agricultural crop in the economy of tropical regions, and Brazil has the largest cultivated acreage in the world. Sugarcane accumulates high levels of sucrose in its stalks. Other compounds produced by sugarcane are currently not of economic importance. To explore potential coproducts, we have studied the chemical diversity of sugarcane genotypes, via metabolite profiling of leaves by NMR and LC-DAD-MS. Metabolites were identified via in-house and public databases. From the analysis of 60 HPLC-fractionated extracts, LC-DAD-MS detected 144 metabolites, of which 56 were identified (MS-MS and (1)H NMR), including 19 phenolics and 25 flavones, with a predominance of isomeric flavone C-glycosides. Multivariate analysis of the profiles from genotypes utilized in Brazilian breeding programs revealed clustering according to sugar, phenolic acid, and flavone contents.

Effect of water content on the acid-base equilibrium of cyanidin-3-glucoside.

Laser Flash Photolysis was employed to measure the deprotonation and reprotonation rate constants of cyanidin 3-monoglucoside (kuromanin) in water/methanol mixtures. It was found that the deprotonation rate constant kd decreases with decreasing water content, reflecting the lack of free water molecules around kuromanin, which may accommodate and stabilize the outgoing protons. On the other hand, the reprotonation rate constant, kp, increases with the decrease in water concentration from a value of kp = 2 × 10(10) l mol(-1) s(-1) in water up to kp = 6 × 10(10) l mol(-1) s(-1) at 5.6M water concentration in the mixture. The higher value of kp at lower water concentrations reflects the fact that the proton is not freely escaping the solvation shell of the molecule. The deprotonation rate constant decreases with decreasing water content, reflecting the lack of free water molecules around kuromanin that can accommodate the outgoing protons. Overall, the acidity constant of the flavylium cation decreases with the decrease in water concentration from pKa values of 3.8 in water to approximately 4.8 in water-depleted media, thus shifting the equilibrium towards the red-coloured form, AH(+), at low water contents. The presence, or lack, of water, will affect the colour shade (red to blue) of kuromanin. This is relevant for its role as an intrinsic food component and as a food pigment additive (E163).

Modulating the structure of EGFR with UV light: new possibilities in cancer therapy.

The epidermal growth factor receptor (EGFR) is a member of the ErbB family of receptor tyrosine kinases. EGFR is activated upon binding to e.g. epidermal growth factor (EGF), leading to cell survival, proliferation and migration. EGFR overactivation is associated with tumor progression. We have previously shown that low dose UVB illumination of cancer cells overexpressing EGFR prior to adding EGF halted the EGFR signaling pathway. We here show that UVB illumination of the extracellular domain of EGFR (sEGFR) induces protein conformational changes, disulphide bridge breakage and formation of tryptophan and tyrosine photoproducts such as dityrosine, N-formylkynurenine and kynurenine. Fluorescence spectroscopy, circular dichroism and thermal studies confirm the occurrence of conformational changes. An immunoassay has confirmed that UVB light induces structural changes in the EGF binding site. A monoclonal antibody which competes with EGF for binding sEGFR was used. We report clear evidence that UVB light induces structural changes in EGFR that impairs the correct binding of an EGFR specific antibody that competes with EGF for binding EGFR, confirming that the 3D structure of the EGFR binding domain suffered conformational changes upon UV illumination. The irradiance used is in the same order of magnitude as the integrated intensity in the solar UVB range. The new photonic technology disables a key receptor and is most likely applicable to the treatment of various types of cancer, alone or in combination with other therapies.

Potential small-molecule activators of caspase-7 identified using yeast-based caspase-3 and -7 screening assays.

Caspases-3 and -7 are at the core of the execution phase of apoptosis. The search for activators of these proteases has therefore deserved particular attention in the field of anticancer drug discovery. Here, a simplified yeast-based screening approach was developed and used to search for activators of caspases-3 and -7, followed by evaluation of the activity of the selected compounds in the human tumor cell lines HL-60 (acute promyelocytic leukemia) and MCF-7 (breast adenocarcinoma). By using the yeast approach, two potential activators of caspase-7, 5,6-dihydroxy-7-prenyloxyflavone (1a) and 3-hydroxy-7-geranyloxyflavone (2a), were identified. Unlike the known caspases-3 and -7 activator, the procaspase activating compound-1 (PAC-1), these flavonoids did not interfere with the caspase-3 activity in yeast. Moreover, flavonoids 1a and 2a processed procaspase-7 to the active caspase-7 both in yeast and in vitro processing assays, and inhibited the growth of HL-60 and MCF-7 human tumor cells with higher potencies than PAC-1, particularly in the absence of caspase-3 (MCF-7 cells). In MCF-7 cells, the flavonoids processed procaspase-7, increased its activity and sensitized these cells to the effects of the cytotoxic drug, etoposide. In conclusion, the developed yeast target-based screening assays led to the identification of potential caspase-7 activators. A proof of concept is therefore provided for the effectiveness of the yeast assays in the discovery of caspase activators. Additionally, the identified compounds may pave the way for a new class of caspase activators with improved anticancer properties.

New insights into cancer-related proteins provided by the yeast model.

Cancer is a devastating disease with a profound impact on society. In recent years, yeast has provided a valuable contribution with respect to uncovering the molecular mechanisms underlying this disease, allowing the identification of new targets and novel therapeutic opportunities. Indeed, several attributes make yeast an ideal model system for the study of human diseases. It combines a high level of conservation between its cellular processes and those of mammalian cells, with advantages such as a short generation time, ease of genetic manipulation and a wealth of experimental tools for genome- and proteome-wide analyses. Additionally, the heterologous expression of disease-causing proteins in yeast has been successfully used to gain an understanding of the functions of these proteins and also to provide clues about the mechanisms of disease progression. Yeast research performed in recent years has demonstrated the tremendous potential of this model system, especially with the validation of findings obtained with yeast in more physiologically relevant models. The present review covers the major aspects of the most recent developments in the yeast research area with respect to cancer. It summarizes our current knowledge on yeast as a cellular model for investigating the molecular mechanisms of action of the major cancer-related proteins that, even without yeast orthologues, still recapitulate in yeast some of the key aspects of this cellular pathology. Moreover, the most recent contributions of yeast genetics and high-throughput screening technologies that aim to identify some of the potential causes underpinning this disorder, as well as discover new therapeutic agents, are discussed.

Yeast as a powerful model system for the study of apoptosis regulation by protein kinase C isoforms.

Protein kinase C (PKC) is a family of serine/threonine kinases involved in the transduction of signals that control different cellular processes, such as cell death and proliferation. This family comprises at least 10 isoforms that regulate apoptosis in an isoformspecific manner. However, controversial data about the role of individual PKC isoforms in apoptosis regulation are frequently reported. The co-existence of several PKC isoforms in a same mammalian cell, the distinct expression profile of PKC isoforms in different cell types, and the different stimulus applied may explain such contradicting results. Therefore major advances in the understanding of the molecular mechanisms that regulate the function of PKC isoforms in apoptosis are still required. Yeast has proved to be a valuable research tool to investigate molecular aspects of apoptosis regulation. Additionally, the conservation in yeast of major functional and molecular properties of mammalian PKC isoforms favours the use of this simpler cell model to uncover relevant aspects of apoptosis regulation by this kinase family. In this review, we cover the current knowledge about the role of different PKC isoforms in apoptosis. Moreover, we discuss the contribution of yeast to unravel several controversial issues about apoptosis regulation by PKC isoforms. The exploitation of yeast cells expressing individual PKC isoforms towards the identification of isoform-specific PKC modulators is also discussed. The studies here summarised highlight that the yeast cell model system can provide valuable insights in the PKC research field.

Aspartic vinyl sulfones: inhibitors of a caspase-3-dependent pathway.

In this article we describe an expanded structure-activity relationship study for vinyl sulfones as caspase-3 inhibitors, a topic virtually unexplored in the existing literature. Most remarkably, and to our surprise, tripeptidyl vinyl sulfones were not active for caspase-3, opposite to other examples described in literature for peptidyl vinyl sulfones as potent cysteine protease inhibitors of clan CA. Moreover, the caspase-3 inhibitory activity of vinyl sulfones using an in vitro assay was then confirmed using a yeast cell-based assay. The results show that Fmoc-protected vinyl sulfones containing only the Asp moiety are inhibitors of a caspase-3-dependent pathway and the IC50 values obtained in the yeast assay are in the same order of magnitude of that obtained with the caspase-3 inhibitor tetrapeptidyl chloromethyl ketone, Ac-DEVD-CMK. This observation is consistent with appropriate cell permeability properties displayed by the vinyl sulfone inhibitors, as reflected by logP values ranging from 1.1 to 3.4. Overall, these results suggest that vinyl sulfones containing Asp at P1 should be considered for further optimization as caspase inhibitors and modulators of caspase-3-dependent pathways.