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"Kurang Energi dan Protein (KEP) pada bayi disebabkan beberapa faktor. Penelitian ini bertujuan mengetahui hubungan antara berat lahir, asupan makan bayi (energi dan protein), umur dan jenis kelamin bayi, imunisasi, penyakit infeksi, pendidikan ibu, pekerjaan ibu dan jumlah anggota rumah tangga dengan keadaan KEP pada bayi. Desain yang digunakan adalah cross sectional. Data yang digunakan merupakan data sekunder dari Riskesdas 2007. Populasi adalah bayi di wilayah penelitian Provinsi Lampung dan sampel adalah bayi yang memiliki datadata yang lengkap sesuai dengan tujuan penelitian ini dan terpilih sebanyak 148 bayi. Analisis statistik yang digunakan adalah univariat, bivariat dengan chi square dan untuk melihat faktor yang paling dominan digunakan uji regresi logistik. Proporsi bayi yang menderita KEP sebesar 12,2%. Hasil penelitian menunjukkan faktor paling dominan berhubungan dengan KEP pada bayi adalah penyakit infeksi (p value = 0,009) dengan nilai OR 4,265 setelah dikontrol berat lahir, asupan protein, pendidikan ibu dan jumlah anggota rumah tangga. Bayi yang pernah menderita penyakit infeksi berpeluang 4,265 kali lebih besar dibandingkan bayi yang tidak pernah menderita infeksi. ......Protein Energy Malnutrition (PEM) on infants due to several factors. This study aims to determine corelated between birth weight, nutrient intake (energy and protein), age and sex, immunisation, infectious disease, maternal education, maternal employments and the number of household members with PEM in infants in Province of Lampung Year 2007. This study was using cross sectional design. The data use are secondary data from Riskesdas 2007. Population are infants in the research area Province of Lampung and the samples were infants who had complete data in accordance with the aims of this study and was selected as many as 148 infants. Data were analyzed by univariate analysis, bivariate analysis with chi square and multivariate analysis with logistic regression. The proportion of infant with PEM were 12,2%. Results showed the most dominant factor associated with PEM on infants in Province of Lampung Year 2007 is an infectious disease after being controlled by the variable of birth weight, protein intake, maternal education and number of household members. Infants with infectious disease were 4,265 times more likely to have PEM than there with no infectious disease."

"Abstrak Respon sel terhadap dunia luarnya memicu terjadinya transduksi sinyal sel. Transduksi sinyal sel merupakan keseluruhan kejadian molekuler yang berlangsung pada penyampaian informasi dari sitoplasma ke inti sel. Salah satu mekanisme transduksi sinyal adalah fosforilasi pada protein kinase. Mitogen activated protein kinase (MAPK) merupakan superfamili enzim yang emiliki tiga familiutama, yaitu Extracellular signal-regulated protein kinase (ERK), c-Jun N-terminal kinase (JNK) atau stress activated protein kinase (SAPK) dan p38 protein kinase. Tiap famili memiliki kepekaan terhadap stimulan yang berbeda sehingga jalur transduksinya spesifik satu sama lain. Penelitian menggunakan analisis Bioinformatika dilakukan untuk mendapatkan kejelasan mengenai pola sekuen asam amino penyusun protein ? protein superfamili MAPK. Pola ini akan menunjukkan spesifisitas interaksi jalur transduksi famili ERK, JNK, dan p38. Hasil yang diperoleh menunjukkan adanya perbedaan pola pada sekuen penyusun daerah interaksi (docking domain) dan daerah aktif protein MAPK. Daerah interaksi berupa ED domain dan CD domain. Pola umum daerah aktif untuk MAPK adalah sekuen TXY, yaitu TEY untuk ERK, TPY untuk JNK, dan TGY untuk p38. ED domain famili ERK berpola sekuen TT, JNK berpola sekuen SD, dan p38 berpola sekuen ED. CD domain subfamili ERK1 bersekuen YYDPTDEP, ERK2 bersekuen YYDPSDEP, JNK1 bersekuen WYDPSEAEA, JNK2 bersekuen WYDPAEAEA, JNK3 bersekuen WYDPAEVEA, p38 alfa bersekuen YHDPDDEP, p38 beta bersekuen YHDPEDEP, p38 gama bersekuen LHDTEDEP, dan p38 delta bersekuen FPDPEEET. Kata kunci : bioinformatika, docking domain, MAPK, transduksi sinyal."

"This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystal structures and protein models, providing numerous examples of real-world usage of the methods mentioned previously. This book is targeted at postgraduate students and academic researchers. It is most obviously of interest to protein bioinformaticians and structural biologists, but should also serve as a guide to biologists more broadly by highlighting the insights that structural bioinformatics can provide into proteins of their interest."

"Summary: There are more than 500 biopharmaceuticals on the market, including more than 200 therapeutic proteins, making biologics the fastest growing sector in the biopharmaceutical market. These products include more than 40 monoclonal antibodies, for indications ranging from treatment or mitigation of various types of cancer to rheumatoid arthritis. The clinical application of these therapeutic peptides and proteins is limited by several problems, such as lack of physical and chemical stability or the lack of desirable attributes for adequate absorption or distribution. Thus, as these therapeutic p"

"An update to the popular guide to proteomics technology applications in biomedical research Building on the strength of the original edition, this book presents the state of the art in the field of proteomics and offers students and scientists new tools and techniques to advance their own research. Written by leading experts in the field, it provides readers with an understanding of new and emerging directions for proteomics research and applications. Proteomics for Biological Discovery begins by discussing the emergence of proteomics technologies and summarizing the potential insights to be gained from proteome-level research. The tools of proteomics, from conventional to novel techniques, are thoroughly covered, from underlying concepts to limitations and future directions. Later chapters provide an overview of the current developments in post-translational modification studies, structural proteomics, biochemical proteomics, applied proteomics, and bioinformatics relevant to proteomics. Chapters cover: Quantitative Proteomics for Differential Protein Expression Profiling; Protein Microarrays; Protein Biomarker Discovery; Biomarker Discovery using Mass Spectrometry Imaging; Protein-Protein Interactions; Mass Spectrometry Of Intact Protein Complexes; Crosslinking Applications in Structural Proteomics; Functional Proteomics; High Resolution Interrogation of Biological Systems via Mass Cytometry; Characterization of Drug-Protein Interactions by Chemoproteomics; Phosphorylation; Large-Scale Phosphoproteomics; and Probing Glycoforms of Individual Proteins Using Antibody-Lectin Sandwich Arrays. Presents a comprehensive and coherent review of the major issues in proteomic technology development, bioinformatics, strategic approaches, and applications Chapters offer a rigorous overview with summary of limitations, emerging approaches, questions, and realistic future industry and basic science applications Features new coverage of mass spectrometry for high throughput proteomic measurements, and novel quantitation strategies such as spectral counting and stable isotope labeling Discusses higher level integrative aspects, including technical challenges and applications for drug discovery Offers new chapters on biomarker discovery, global phosphorylation analysis, proteomic profiling using antibodies, and single cell mass spectrometry Proteomics for Biological Discovery is an excellent advanced resource for graduate students, postdoctoral fellows, and scientists across all the major fields of biomedical science"

"ABSTRAKThe aim of this work was to improve physical stability of rice bran oil-in-water emulsion by heat and alkaline treated proteins from rice bran and soybean. Rice bran protein (RBP) was extracted from defatted rice bran by alkaline extraction and isoelectric precipitation. RBP and soy protein (SP) were modified by heat and alkaline treatment (pH 9 at 60 C for 60 min). The ability of modified rice bran protein (MRBP) and modified soy bean protein (MSP) to stabilize rice bran-oil-in-water emulsion was investigated. Results showed that the MRBP and MSP to form and stabilize oil-in-water emulsions were better than those of RBP and SP. Emulsions with small particle sizes diameter and creaming stability could be produced at pH 6.5 for 0.4-1.0 %wt MRBP and 0.6-1.0 %wt MSP. Improved physical stability of rice bran oil-in-water emulsion by heat and alkaline treated will enhance the utilization RBP and SP as food ingredient in the food industry."