Displaying publications 21 - 40 of 1285 in total

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  1. A comparative study of the expression of Wnt-1, WISP-1, survivin and cyclin-D1 in colorectal carcinoma
    Khor TO, Gul YA, Ithnin H, Seow HF
    Int J Colorectal Dis, 2006 May;21(4):291-300.
    PMID: 16041507
    BACKGROUND AND AIMS: It is well accepted that activation of Wnt signalling occurs in colorectal carcinoma (CRC), but the correlation amongst the various proteins involved in primary tumours are still unclear. The expression of the inducer of this pathway, Wnt-1, and the downstream effectors, WISP-1, cyclin-D1 and survivin proteins, was compared in a series of CRC tissues with the apparently normal adjacent tissues to determine the relationship of these proteins.

    PATIENTS AND METHODS: Formalin-fixed, paraffin-embedded tissue samples of 47 CRCs surgically resected at the Kuala Lumpur Hospital (KLH) between 1999 and 2000 were used. Immunohistochemical staining with monoclonal antibodies against cyclin-D1 and survivin and polyclonal antibodies against Wnt-1 and WISP-1 was performed. Results of immunohistochemistry were analysed for correlation between biomolecules and histopathological data of the patients.

    RESULTS: Of the 47 CRCs, 26 (55.3%), 15 (31.9%), 5 (10.6%) and 28 (59.6%) of the tumours exhibited positivity for Wnt-1, WISP-1, cyclin D1 and survivin, respectively. A lower percentage of the 40 apparently normal adjacent tissues were found to be positive for Wnt-1 (7, 17.5%), WISP-1 (+/-5, 12.5%) and survivin (13, 32.5%), but cyclin D1 was not detected in any of them. Interestingly, the total scores of Wnt-1, WISP-1 and survivin were significantly higher in CRC tissues (p=0.001, 0.034 and 0.044, respectively). Using the Spearman rank correlation test, a positive linear relationship was found between total Wnt-1 score with total WISP-1 score (rho=0.319, p=0.003) and total survivin score (rho=0.609, p=or<0.001). The expression of WISP-1 in the CRC tissues was found to be positively correlated with patients older than 60 years old (p=0.011). In addition, nuclear cyclin-D1 expression was found to be associated with poorly differentiated CRC tissues (p<0.001, Table 5) and right-sided CRC tumour (p=0.019, Table 6). Total WISP-1 score was associated with well-differentiated CRC tissues (p=0.029).

    CONCLUSIONS: Overexpression and interplay between Wnt-1, WISP-1, survivin and cyclin-D1 may play a role in tumorigenesis, possibly by promoting cell cycle checkpoint progression, accelerating cell growth and inhibiting apoptosis. Our data may provide useful information towards the search for potent therapeutic targets towards the development of novel treatment strategies for CRC.

    Matched MeSH terms: Microtubule-Associated Proteins/metabolism*; Neoplasm Proteins/metabolism*; Proto-Oncogene Proteins/metabolism*; Intracellular Signaling Peptides and Proteins/metabolism*
  2. NES-REBS: A novel nuclear export signal prediction method using regular expressions and biochemical properties
    Wu T, Wang X, Zhang Z, Gong F, Song T, Chen Z, et al.
    J Bioinform Comput Biol, 2016 06;14(3):1650013.
    PMID: 27225342 DOI: 10.1142/S021972001650013X
    A nuclear export signal (NES) is a protein localization signal, which is involved in binding of cargo proteins to nuclear export receptor, thus contributes to regulate localization of cellular proteins. Consensus sequences of NES have been used to detect NES from protein sequences, but suffer from poor predictive power. Some recent peering works were proposed to use biochemical properties of experimental verified NES to refine NES candidates. Those methods can achieve high prediction rates, but their execution time will become unacceptable for large-scale NES searching if too much properties are involved. In this work, we developed a novel computational approach, named NES-REBS, to search NES from protein sequences, where biochemical properties of experimental verified NES, including secondary structure and surface accessibility, are utilized to refine NES candidates obtained by matching popular consensus sequences. We test our method by searching 262 experimental verified NES from 221 NES-containing protein sequences. It is obtained that NES-REBS runs in 2-3[Formula: see text]mins and performs well by achieving precision rate 47.2% and sensitivity 54.6%.
    Matched MeSH terms: Proteins/metabolism*
  3. Current trends in endotoxin detection and analysis of endotoxin-protein interactions
    Dullah EC, Ongkudon CM
    Crit Rev Biotechnol, 2017 Mar;37(2):251-261.
    PMID: 26863480 DOI: 10.3109/07388551.2016.1141393
    Endotoxin is a type of pyrogen that can be found in Gram-negative bacteria. Endotoxin can form a stable interaction with other biomolecules thus making its removal difficult especially during the production of biopharmaceutical drugs. The prevention of endotoxins from contaminating biopharmaceutical products is paramount as endotoxin contamination, even in small quantities, can result in fever, inflammation, sepsis, tissue damage and even lead to death. Highly sensitive and accurate detection of endotoxins are keys in the development of biopharmaceutical products derived from Gram-negative bacteria. It will facilitate the study of the intermolecular interaction of an endotoxin with other biomolecules, hence the selection of appropriate endotoxin removal strategies. Currently, most researchers rely on the conventional LAL-based endotoxin detection method. However, new methods have been and are being developed to overcome the problems associated with the LAL-based method. This review paper highlights the current research trends in endotoxin detection from conventional methods to newly developed biosensors. Additionally, it also provides an overview of the use of electron microscopy, dynamic light scattering (DLS), fluorescence resonance energy transfer (FRET) and docking programs in the endotoxin-protein analysis.
    Matched MeSH terms: Proteins/metabolism
  4. Proteomics of Important Food Crops in the Asia Oceania Region: Current Status and Future Perspectives
    Chakraborty S, Salekdeh GH, Yang P, Woo SH, Chin CF, Gehring C, et al.
    J Proteome Res, 2015 Jul 2;14(7):2723-44.
    PMID: 26035454 DOI: 10.1021/acs.jproteome.5b00211
    In the rapidly growing economies of Asia and Oceania, food security has become a primary concern. With the rising population, growing more food at affordable prices is becoming even more important. In addition, the predicted climate change will lead to drastic changes in global surface temperature and changes in rainfall patterns that in turn will pose a serious threat to plant vegetation worldwide. As a result, understanding how plants will survive in a changing climate will be increasingly important. Such challenges require integrated approaches to increase agricultural production and cope with environmental threats. Proteomics can play a role in unraveling the underlying mechanisms for food production to address the growing demand for food. In this review, the current status of food crop proteomics is discussed, especially in regard to the Asia and Oceania regions. Furthermore, the future perspective in relation to proteomic techniques for the important food crops is highlighted.
    Matched MeSH terms: Plant Proteins/metabolism*
  5. Fulltext Mechanism of cholesterol gallstone formation
    Abu Bakar MA
    Med J Malaysia, 1987 Dec;42(4):290-3.
    PMID: 3331409
    Matched MeSH terms: Proteins/metabolism
  6. Fulltext S-acylation regulates the trafficking and stability of the unconventional Q-SNARE STX19
    Ampah KK, Greaves J, Shun-Shion AS, Asnawi AW, Lidster JA, Chamberlain LH, et al.
    J Cell Sci, 2018 10 22;131(20).
    PMID: 30254024 DOI: 10.1242/jcs.212498
    STX19 is an unusual Qa-SNARE as it lacks a C-terminal transmembrane domain. However, it is efficiently targeted to post-Golgi membranes. Here, we set out to determine the intracellular localisation of endogenous STX19 and elucidate the mechanism by which it is targeted to membranes. We have found that a pool of STX19 is localised to tubular recycling endosomes where it colocalises with MICAL-L1 and Rab8 (which has Rab8a and Rab8b forms). Using a combination of genetic, biochemical and cell-based approaches, we have identified that STX19 is S-acylated at its C-terminus and is a substrate for several Golgi-localised S-acyltransferases, suggesting that STX19 is initially S-acylated at the Golgi before trafficking to the plasma membrane and endosomes. Surprisingly, we have found that S-acylation is a key determinant in targeting STX19 to tubular recycling endosomes, suggesting that S-acylation may play a general role in directing proteins to this compartment. In addition, S-acylation also protects STX19 from proteosomal degradation, indicating that S-acylation regulates the function of STX19 at multiple levels.This article has an associated First Person interview with the first author of the paper.
    Matched MeSH terms: Q-SNARE Proteins/metabolism*
  7. Prognostic prospect of soluble programmed cell death ligand-1 in cancer management
    Khairil Anwar NA, Mohd Nazri MN, Murtadha AH, Mohd Adzemi ER, Balakrishnan V, Mustaffa KMF, et al.
    Acta Biochim Biophys Sin (Shanghai), 2021 Jul 28;53(8):961-978.
    PMID: 34180502 DOI: 10.1093/abbs/gmab077
    Aggressive tissue biopsy is commonly unavoidable in the management of most suspected tumor cases to conclusively verify the presence of cancerous cells through histological assessment. The extracted tissue is also immunostained for detection of antigens (tissue tumor markers) of potential prognostic or therapeutic importance to assist in treatment decision. Although liquid biopsies can be a powerful tool for monitoring treatment response, they are still excluded from standard cancer diagnostics, and their utility is still being debated in the scientific community. With a myriad of soluble tissue tumor markers now being discovered, liquid biopsies could completely change the current paradigms of cancer management. Recently, soluble programmed cell death ligand-1 (sPD-L1), which is found in the peripheral blood, i.e. serum and plasma, has shown potential as a pre-therapeutic predictive marker as well as a prognostic biomarker to monitor treatment efficacy. Thus, this review focuses on the emergence of sPD-L1 and promising technologies for its detection in order to support liquid biopsies for future cancer management.
    Matched MeSH terms: Neoplasm Proteins/metabolism*
  8. Structural probing of HapR to identify potent phytochemicals to control Vibrio cholera through integrated computational approaches
    Tahir Ul Qamar M, Ahmad S, Khan A, Mirza MU, Ahmad S, Abro A, et al.
    Comput Biol Med, 2021 11;138:104929.
    PMID: 34655900 DOI: 10.1016/j.compbiomed.2021.104929
    Cholera is a severe small intestine bacterial disease caused by consumption of water and food contaminated with Vibrio cholera. The disease causes watery diarrhea leading to severe dehydration and even death if left untreated. In the past few decades, V. cholerae has emerged as multidrug-resistant enteric pathogen due to its rapid ability to adapt in detrimental environmental conditions. This research study aimed to design inhibitors of a master virulence gene expression regulator, HapR. HapR is critical in regulating the expression of several set of V. cholera virulence genes, quorum-sensing circuits and biofilm formation. A blind docking strategy was employed to infer the natural binding tendency of diverse phytochemicals extracted from medicinal plants by exposing the whole HapR structure to the screening library. Scoring function criteria was applied to prioritize molecules with strong binding affinity (binding energy 
    Matched MeSH terms: Bacterial Proteins/metabolism
  9. Effects of Monascus application on in vitro digestion and fermentation characteristics of fish protein
    Liu J, Chen J, Wang S, Xie J, Wang Y, Chai TT, et al.
    Food Chem, 2022 May 30;377:132000.
    PMID: 34999460 DOI: 10.1016/j.foodchem.2021.132000
    The aim of this study was to investigate the digestion and fermentation properties of fish protein fermented by Monascus. Semi-dried fish was fermented by applying Monascus purpureus Went M 3.439. Our results show that the Monascus fermentation of the fish protein enriched the free amino acids and achieved a relatively higher glutamate content than the control group. The Monascus treatment promoted the decomposition of the fish protein during in vitro digestion, reduced the ammonia and indole content and tended to increase the propionic acid content during in vitro fermentation. The Monascus treatment considerably changed the gut microbiota composition, and particularly increased the relative abundance of Parabacteroides in the in vitro fermentation model of human distal colon. Consumption of Monascus fermented fish protein could result in positive changes in fermentation metabolites and gut microbiota, which brings potential health benefits.
    Matched MeSH terms: Fish Proteins/metabolism
  10. VapC toxin switches M. smegmatis cells into dormancy through 23S rRNA cleavage
    Zamakhaev M, Grigorov A, Bespyatykh J, Azhikina T, Goncharenko A, Shumkov M
    Arch Microbiol, 2022 Dec 15;205(1):28.
    PMID: 36520276 DOI: 10.1007/s00203-022-03363-1
    Mycobacterium tuberculosis is an extremely successful pathogen known for its ability to cause latent infection. The latter is connected with the bacterium resting state development and is considered to be based on the activity of toxin-antitoxin (TA) systems at least in part. Here we studied the physiological and proteomic consequences of VapC toxin overexpression together with the features of the protein synthesis apparatus and compared them with the characteristics of dormant mycobacterial cells in an M. smegmatis model. The findings allow suggesting the mechanism mycobacteria enter dormancy, which is realized through VapC-caused cleavage of the 23S rRNA Sarcin-Ricin loop followed by conservation of stalled ribosomes in a membrane-associated manner. The found features of resting mycobacteria protein synthesis apparatus hypothesize the mechanisms of resuscitation from dormancy through the ribosomes de-association off the membrane accompanied by the 23S rRNA break curing, and could be of value for the development of principally new antituberculosis agents.
    Matched MeSH terms: Bacterial Proteins/metabolism
  11. Fulltext Genetic polymorphism of the thrombospondin-related apical merozoite protein (TRAMP) of Plasmodium knowlesi in Malaysia
    Ng YL, Lau YL, Hamid MHA, Jelip J, Ooi CH, Mudin RN, et al.
    Parasitol Res, 2023 Jan;122(1):195-200.
    PMID: 36378331 DOI: 10.1007/s00436-022-07716-z
    Plasmodium knowlesi is a simian malaria parasite that causes significant zoonotic infections in Southeast Asia, particularly in Malaysia. The Plasmodium thrombospondin-related apical merozoite protein (TRAMP) plays an essential role in the invasion of the parasite into its host erythrocyte. The present study investigated the genetic polymorphism and natural selection of the full length PkTRAMP from P. knowlesi clinical isolates from Malaysia. Blood samples (n = 40) were collected from P. knowlesi malaria patients from Peninsular Malaysia and Malaysian Borneo. The PkTRAMP gene was amplified using PCR, followed by cloning into a plasmid vector and sequenced. Results showed that the nucleotide diversity of PkTRAMP was low (π: 0.009). Z-test results indicated negative (purifying) selection of PkTRAMP. The alignment of the deduced amino acid sequences of PkTRAMP of Peninsular Malaysia and Malaysian Borneo revealed 38 dimorphic sites. A total of 27 haplotypes were identified from the amino acid sequence alignment. Haplotype analysis revealed that there was no clustering of PkTRAMP from Peninsular Malaysia and Malaysian Borneo.
    Matched MeSH terms: Protozoan Proteins/metabolism
  12. Improving animal welfare status and meat quality through assessment of stress biomarkers: A critical review
    Kumar P, Ahmed MA, Abubakar AA, Hayat MN, Kaka U, Ajat M, et al.
    Meat Sci, 2023 Mar;197:109048.
    PMID: 36469986 DOI: 10.1016/j.meatsci.2022.109048
    Stress induces various physiological and biochemical alterations in the animal body, which are used to assess the stress status of animals. Blood profiles, serum hormones, enzymes, and physiological conditions such as body temperature, heart, and breathing rate of animals are the most commonly used stress biomarkers in the livestock sector. Previous exposure, genetics, stress adaptation, intensity, duration, and rearing practices result in wide intra- and inter-animal variations in the expression of various stress biomarkers. The use of meat proteomics by adequately analyzing the expression of various muscle proteins such as heat shock proteins (HSPs), acute phase proteins (APPs), texture, and tenderness biomarkers help predict meat quality and stress in animals before slaughter. Thus, there is a need to identify non-invasive, rapid, and accurate stress biomarkers that can objectively assess stress in animals. The present manuscript critically reviews various aspects of stress biomarkers in animals and their application in mitigating preslaughter stress in meat production.
    Matched MeSH terms: Muscle Proteins/metabolism
  13. Fulltext Biofilm Signaling, Composition and Regulation in Burkholderia pseudomallei
    Nyanasegran PK, Nathan S, Firdaus-Raih M, Muhammad NAN, Ng CL
    J Microbiol Biotechnol, 2023 Jan 28;33(1):15-27.
    PMID: 36451302 DOI: 10.4014/jmb.2207.07032
    The incidence of melioidosis cases caused by the gram-negative pathogen Burkholderia pseudomallei (BP) is seeing an increasing trend that has spread beyond its previously known endemic regions. Biofilms produced by BP have been associated with antimicrobial therapy limitation and relapse melioidosis, thus making it urgently necessary to understand the mechanisms of biofilm formation and their role in BP biology. Microbial cells aggregate and enclose within a self-produced matrix of extracellular polymeric substances (EPSs) to form biofilm. The transition mechanism of bacterial cells from planktonic state to initiate biofilm formation, which involves the formation of surface attachment microcolonies and the maturation of the biofilm matrix, is a dynamic and complex process. Despite the emerging findings on the biofilm formation process, systemic knowledge on the molecular mechanisms of biofilm formation in BP remains fractured. This review provides insights into the signaling systems, matrix composition, and the biosynthesis regulation of EPSs (exopolysaccharide, eDNA and proteins) that facilitate the formation of biofilms in order to present an overview of our current knowledge and the questions that remain regarding BP biofilms.
    Matched MeSH terms: Bacterial Proteins/metabolism
  14. Generation of an RNA aptamer against LipL32 of Leptospira isolated by Tripartite-hybrid SELEX coupled with in-house Python-aided unbiased data sorting
    Shien Yeoh T, Yusof Hazrina H, Bukari BA, Tang TH, Citartan M
    Bioorg Med Chem, 2023 Mar 01;81:117186.
    PMID: 36812779 DOI: 10.1016/j.bmc.2023.117186
    Leptospirosis is a potentially life-threatening zoonosis caused by pathogenic Leptospira. The major hurdle of the diagnosis of Leptospirosis lies in the issues associated with current methods of detection, which are time-consuming, tedious and the need for sophisticated, special equipments. Restrategizing the diagnostics of Leptospirosis may involve considerations of the direct detection of the outer membrane protein, which can be faster, cost-saving and require fewer equipments. One such promising marker is LipL32, which is an antigen with high amino acid sequence conservation among all the pathogenic strains. In this study, we endeavored to isolate an aptamer against LipL32 protein via a modified SELEX strategy known as tripartite-hybrid SELEX, based on 3 different partitioning strategies. In this study, we also demonstrated the deconvolution of the candidate aptamers by using in-house Python-aided unbiased data sorting in examining multiple parameters to isolate potent aptamers. We have successfully generated an RNA aptamer against LipL32 of Leptospira, LepRapt-11, which is applicable in a simple direct ELASA for the detection of LipL32. LepRapt-11 can be a promising molecular recognition element for the diagnosis of leptospirosis by targeting LipL32.
    Matched MeSH terms: Bacterial Outer Membrane Proteins/metabolism
  15. Complete genome sequence of Bacillus Licheniformis NWMCC0046, a candidate for the laundry industry
    Zhou W, Zeng S, Yu J, Xiang J, Zhang F, Takriff MS, et al.
    J Basic Microbiol, 2023 Feb;63(2):223-234.
    PMID: 36538731 DOI: 10.1002/jobm.202200528
    In this study, selected properties of protease and the complete genome sequence of Bacillus licheniformis NWMCC0046 were investigated, to discover laundry applications and other potential probiotic properties of this strain. Partial characterization of B. licheniformis NWMCC0046 showed that its protease has good activity both in alkaline environments and at low temperatures. Also, the protease is compatible with commercial detergents and can be used as a detergent additive for effective stain removal at low temperatures. The complete genome sequence of B. licheniformis NWMCC0046 is comprised of a 4,321,565 bp linear chromosome with a G + C content of 46.78% and no plasmids. It had 4504 protein-encoding genes, 81 transfer RNA (tRNA) genes, and 24 ribosomal RNA (rRNA) genes. Genomic analysis revealed genes involved in exocellular enzyme production and probiotic properties. In addition, genomic sequence analysis revealed specific genes encoding carbohydrate metabolism pathways, resistance, and cold adaptation capacity. Overall, protease properties show its potential as a detergent additive enzyme. The complete genome sequence information of B. licheniformis NWMCC0046 was obtained, and functional prediction revealed its numerous probiotic properties.
    Matched MeSH terms: Bacterial Proteins/metabolism
  16. Fulltext Type II bacterial toxin-antitoxins: hypotheses, facts, and the newfound plethora of the PezAT system
    Chan WT, Garcillán-Barcia MP, Yeo CC, Espinosa M
    FEMS Microbiol Rev, 2023 Sep 05;47(5).
    PMID: 37715317 DOI: 10.1093/femsre/fuad052
    Toxin-antitoxin (TA) systems are entities found in the prokaryotic genomes, with eight reported types. Type II, the best characterized, is comprised of two genes organized as an operon. Whereas toxins impair growth, the cognate antitoxin neutralizes its activity. TAs appeared to be involved in plasmid maintenance, persistence, virulence, and defence against bacteriophages. Most Type II toxins target the bacterial translational machinery. They seem to be antecessors of Higher Eukaryotes and Prokaryotes Nucleotide-binding (HEPN) RNases, minimal nucleotidyltransferase domains, or CRISPR-Cas systems. A total of four TAs encoded by Streptococcus pneumoniae, RelBE, YefMYoeB, Phd-Doc, and HicAB, belong to HEPN-RNases. The fifth is represented by PezAT/Epsilon-Zeta. PezT/Zeta toxins phosphorylate the peptidoglycan precursors, thereby blocking cell wall synthesis. We explore the body of knowledge (facts) and hypotheses procured for Type II TAs and analyse the data accumulated on the PezAT family. Bioinformatics analyses showed that homologues of PezT/Zeta toxin are abundantly distributed among 14 bacterial phyla mostly in Proteobacteria (48%), Firmicutes (27%), and Actinobacteria (18%), showing the widespread distribution of this TA. The pezAT locus was found to be mainly chromosomally encoded whereas its homologue, the tripartite omega-epsilon-zeta locus, was found mostly on plasmids. We found several orphan pezT/zeta toxins, unaccompanied by a cognate antitoxin.
    Matched MeSH terms: Bacterial Proteins/metabolism
  17. Fulltext Ligand-based virtual screening using Bayesian networks
    Abdo A, Chen B, Mueller C, Salim N, Willett P
    J Chem Inf Model, 2010 Jun 28;50(6):1012-20.
    PMID: 20504032 DOI: 10.1021/ci100090p
    A Bayesian inference network (BIN) provides an interesting alternative to existing tools for similarity-based virtual screening. The BIN is particularly effective when the active molecules being sought have a high degree of structural homogeneity but has been found to perform less well with structurally heterogeneous sets of actives. In this paper, we introduce an alternative network model, called a Bayesian belief network (BBN), that seeks to overcome this limitation of the BIN approach. Simulated virtual screening experiments with the MDDR, WOMBAT and MUV data sets show that the BIN and BBN methods allow effective screening searches to be carried out. However, the results obtained are not obviously superior to those obtained using a much simpler approach that is based on the use of the Tanimoto coefficient and of the square roots of fragment occurrence frequencies.
    Matched MeSH terms: Proteins/metabolism
  18. In silico identification and characterization of potential druggable targets among hypothetical proteins of Leptospira interrogans serovar Copenhageni: a comprehensive bioinformatics approach
    Siddiqui Q, Ali MSM, Leow ATC, Oslan SN, Mohd Shariff F
    J Biomol Struct Dyn, 2023 Dec;41(20):10347-10367.
    PMID: 36510668 DOI: 10.1080/07391102.2022.2154845
    Leptospirosis is one of the neglected zoonosis, affecting human and animal populations worldwide. Reliable effective therapeutics and concerns to look for more research into the molecular analysis of its genome is therefore needed. In the genomic pool of the Leptospira interrogans many hypothetical proteins are still uncharacterized. In the current research, we performed extensive in silico analysis to prioritize the potential hypothetical proteins of L. interrogans serovar Copenhageni via stepwise reducing the available hypothetical proteins (Total 3606) of the assembly to only 15, based on non-homologous to homosapien, essential, functional, virulent, cellular localization. Out of them, only two proteins WP_000898918.1 (Hypothetical Protein 1) & WP_001014594.1 (Hypothetical Protein 2) were found druggable and involved in protein-protein interaction network. The 3 D structures of these two target proteins were predicted via ab initio homology modeling followed by structures refinement and validation, as no structures were available till date. The analysis also revealed that the functional domains, families and protein-protein interacting partners identified in both proteins are crucial for the survival of the bacteria. The binding cavities were predicted for both the proteins through blind and specific protein-ligand docking with their respective ligands and inhibitors and were found to be in accordance with the druggable sites predicted by DoGSiteScorer. The docking interactions were found within the active functional domains for both the proteins while for Hypothetical Protein 2, the same residues were involved in interactions with Cytidine-5'-triphosphate in blind and specific docking. Furthermore, the simulations of molecular dynamics and free binding energy revealed the stable substrate binding and efficient binding energies, and were in accordance to our docking results. The work predicted two unique hypothetical proteins of L. interrogans as a potential druggable targets for designing of inhibitors for them.Communicated by Ramaswamy H. Sarma.
    Matched MeSH terms: Bacterial Proteins/metabolism
  19. Identification and Quantification of Affinity-Purified Proteins with MaxQuant, Followed by the Discrimination of Nonspecific Interactions with the CRAPome Interface
    Lee PY, Low TY
    Methods Mol Biol, 2023;2690:299-310.
    PMID: 37450156 DOI: 10.1007/978-1-0716-3327-4_25
    Affinity purification coupled to mass spectrometry (AP-MS) is a powerful method to analyze protein-protein interactions (PPIs). The AP-MS approach provides an unbiased analysis of the entire protein complex and is useful to identify indirect interactors. However, reliable protein identification from the complex AP-MS experiments requires appropriate control of false identifications and rigorous statistical analysis. Another challenge that can arise from AP-MS analysis is to distinguish bona fide interacting proteins from the non-specifically bound endogenous proteins or the "background contaminants" that co-purified by the bait experiments. In this chapter, we will first describe the protocol for performing in-solution trypsinization for the samples from the AP experiment followed by LC-MS/MS analysis. We will then detail the MaxQuant workflow for protein identification and quantification for the PPI data derived from the AP-MS experiment. Finally, we describe the CRAPome interface to process the data by filtering against contaminant lists, score the interactions and visualize the protein interaction networks.
    Matched MeSH terms: Proteins/metabolism
  20. Fulltext Status of Plant Protein-Based Green Scaffolds for Regenerative Medicine Applications
    Jahangirian H, Azizi S, Rafiee-Moghaddam R, Baratvand B, Webster TJ
    Biomolecules, 2019 10 17;9(10).
    PMID: 31627453 DOI: 10.3390/biom9100619
    In recent decades, regenerative medicine has merited substantial attention from scientific and research communities. One of the essential requirements for this new strategy in medicine is the production of biocompatible and biodegradable scaffolds with desirable geometric structures and mechanical properties. Despite such promise, it appears that regenerative medicine is the last field to embrace green, or environmentally-friendly, processes, as many traditional tissue engineering materials employ toxic solvents and polymers that are clearly not environmentally friendly. Scaffolds fabricated from plant proteins (for example, zein, soy protein, and wheat gluten), possess proper mechanical properties, remarkable biocompatibility and aqueous stability which make them appropriate green biomaterials for regenerative medicine applications. The use of plant-derived proteins in regenerative medicine has been especially inspired by green medicine, which is the use of environmentally friendly materials in medicine. In the current review paper, the literature is reviewed and summarized for the applicability of plant proteins as biopolymer materials for several green regenerative medicine and tissue engineering applications.
    Matched MeSH terms: Plant Proteins/metabolism*
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