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"This book provides an overview of different protein kinases, structure, function, regulation, and their role in cancer. It combines kinase biology with chemistry and pharmacology applications for discovery and development of cancer drugs. The text also describes existing and emerging kinase inhibitors, focusing mostly on small molecules but also alternative approaches like therapeutic antibodies. Provides an important resource that helps pharmaceutical researchers understand and work in this dynamic area of cancer drug research."

"This timely guide to kinase inhibitor drug development is the first to cover the entire drug pipeline, from target identification to compound development and clinical application. Edited by the pioneers in the field, on the drug development side this ready reference discusses classical medicinal chemistry approaches as well as current chemical genomics strategies. On the clinical side, both current and future therapeutic application areas for kinase inhibitor drugs are addressed, with a strong focus on oncology drugs.Backed by recent clinical experience with first-generation drugs in the battle against various forms of cancer, this is crucial reading for medicinal, pharmaceutical and biochemists, molecular biologists, and oncologists, as well as those working in the pharmaceutical industry."

"BACE (β-site of APP cleaving enzyme) is a critical component in Alzheimer's Disease (AD), and the development of BACE inhibitors shows great potential as a therapy for the disease. BACE : lead target for orchestrated therapy of alzheimer's disease covers virtually all aspects of BACE from initial identification, discovery of inhibitors, and challenges in clinical development, while providing a global understanding essential for productive and successful drug discovery."

"Checkpoint kinase 1 (Chk1) merupakan protein yang berperan dalam proses respon kerusakan DNA, yaitu mengkoordinasi respon kerusakan DNA. Chk1 terekspresi pada kanker kolorektal dan Chk1 berkontribusi dalam resistensi terapi kanker kolorektal. Chk1 mencegah masuknya sel DNA yang rusak atau tidak tereplikasi sempurna dalam tahap mitosis ketika sel ditantang oleh agen perusak DNA, seperti terapi radiasi dan agen kemoterapi. Maka dari itu, inhibisi Chk1 dapat menjadi metode untuk pengobatan kanker. HerbalDB merupakan pangkalan data yang senyawa bahan alam Indonesia yang dibuat oleh Fakultas Farmasi Universitas Indonesia. Penelitian senyawa HerbalDB yang berpotensi sebagai inhibitor Chk1 belum pernah dilakukan. Maka, dilakukan penelitian secara in silico dengan metode penapisan virtual dari pangkalan dari HerbalDB untuk mendapatkan kandidat inhibitor Chk1. Makromolekul Chk1 dengan ID 2R0U yang digunakan diperoleh dari situs RCSB PDB. Parameter yang diperoleh dari hasil optimasi dan validasi untuk melakukan penapisan virtual adalah menggunakan AutoDock dalam PyRx dengan ukuran grid box 60 x 60 x 60 dan evaluasi energi maksimum short (250.000). Dari hasil penapisan virtual, diperoleh 16 senyawa HerbalDB yang memiliki nilai ∆G terendah, yaitu (-)-Kurin, Folitenol, Mangostenon A, Rubranin, 6-Deoksoteasteron, (+)-Thalrugosin, Yamogenin, Isokondodendrin, Limasin, Isoarborinol, Sapogenin, alfa-Amirin, Neriifolin, Siklomorusin, Cassiamin C, beta-Kriptosantin dengan rentang nilai ∆G -11,34 hingga -10,01 kkal/mol. Sebagian besar senyawa tersebut berinteraksi dengan residu asam amino pada situs aktif makromolekul Chk1, yaitu Cys87, Asp148, Glu55, dan Lys38. Hasil tersebut menunjukkan bahwa 16 senyawa tersebut memiliki potensi untuk menjadi kandidat inhibitor Chk1.

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Checkpoint kinase 1 (Chk1) is a target that plays a role in the DNA damage response process, namely coordinating the DNA damage response. Chk1 is expressed in colorectal cancer and Chk1 contributes to colorectal cancer therapy resistance. Chk1 prevents entry of damaged or incompletely replicated DNA cells in the mitotic stage when cells are challenged by DNA-damaging agents, such as radiation therapy and chemotherapeutic agents. Therefore, Chk1 inhibition could be a method for cancer treatment. HerbalDB is a database of Indonesian natural compounds. Research on HerbalDB compounds that have the potential to act as Chk1 inhibitors has never been done. Therefore, an in-silico study was conducted using a virtual screening method from the HerbalDB database to obtain candidates for Chk1 inhibitors. The Chk1 macromolecule with ID 2R0U was obtained from the RCSB PDB site. The parameters obtained from the optimization and validation results to perform virtual screening is using AutoDock in PyRx with a grid box size of 60 x 60 x 60 and a maximum energy evaluation of short (250.000). From the virtual screening, 16 HerbalDB compounds were obtained with the lowest ∆G values: (-)-Curine, Folitenol, Mangostenone A, Rubranine, 6-Deoxoteasterone, (+)-Thalrugosine, Yamogenin, Isochondodendrine, Limacine, Isoarborinol, Sapogenin, alpha-Amyrin, Neriifolin, Cyclomorusin, Cassiamin C, beta-Cryptoxanthin with ∆G values ​​ranging from -11.34 to -10.01 kcal/mol. Most of these compounds interact with the amino acid residues on the active site of Chk1, namely Cys87, Asp148, Glu55, and Lys38. These results indicate that these 16 compounds have the potential to be candidates for Chk1 inhibitors."

"This book about protein-protein Interactions as drug targets, targeting the MDM2-p53 protein-protein interaction for new cancer therapeutics, the development of small-molecule IAP antagonists for the treatment of cancer, protein-protein interaction targets to inhibit HIV-1 infection, inhibitors of protein-protein interactions paramyxovirus fusion ? a focus on respiratory syncytial virus, rational design strategies for developing synthetic inhibitors of helical protein interfaces, and the discovery of navitoclax, a Bcl-2 family inhibitor."

"Alopecia areata (AA) merupakan jenis kerontokan rambut pada manusia yang disebabkan oleh serangan sel-sel imun tubuh terhadap folikel rambut di fase anagen. Single nucleotide polymorphism (SNP) rs2476601 adalah salah satu varian gen yang terletak di gen protein tyrosine phosphatase non-receptor type 22 (PTPN22) dan diketahui berasosiasi dengan kemunculan AA berdasarkan penelitian yang dilakukan di berbagai negara. Perubahan basa sitosin menjadi timin pada posisi ke-1858 diprediksi menyebabkan penurunan kemampuan protein lymphoid-specific tyrosine phosphatase (Lyp) untuk menghambat aktivasi sel T. Penelitian ini bertujuan untuk mengetahui keberadaan asosiasi SNP rs2476601 dengan kemunculan fenotipe AA pada populasi Indonesia. Pengambilan sampel buccal swab dilakukan terhadap 50 pasien penderita AA dan 50 individu normal sebagai subjek kontrol. Penentuan genotipe subjek dilakukan dengan teknik PCR-RFLP menggunakan enzim restriksi RsaI, lalu analisis statistik dilakukan dengan uji Fisher’s exact. Dari seluruh subjek yang diteliti, sebanyak 99% genotipe merupakan genotipe CC yang ditandai dengan 4 pita dan 1% genotipe merupakan genotipe CT yang ditandai dengan 5 pita. Tidak ditemukan adanya genotipe homozigot TT pada kedua kelompok studi. Populasi subjek yang terlibat dalam penelitian berada dalam keseimbangan Hardy-Weinberg. Nilai p yang ditemukan dari hasil uji Fisher’s exact tidak menunjukkan adanya asosiasi yang bermakna antara genotipe CT/TT dan kondisi AA (p>0,05). Penelitian ini memberikan kesimpulan bahwa rs2476601 gen PTPN22 tidak memiliki asosiasi terhadap kemunculan AA pada populasi di Indonesia.

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Alopecia areata (AA) is a type of hair loss in human caused by the body's immune cells attacking hair follicles in the anagen phase. Single nucleotide polymorphism (SNP) rs2476601 is a gene variant located in the protein tyrosine phosphatase non-receptor type 22 (PTPN22) gene and associated with the emergence of AA based on studies conducted in various countries. The substitution of cytosine to thymine base at position 1858 decreases the ability of lymphoid-specific tyrosine phosphatase (Lyp) protein to inhibit T cell activation. This study aimed to determine the association of SNP rs2476601 with the appearance of the AA phenotype in the Indonesian population. Buccal swabs were extracted from 50 patients with AA and 50 normal individuals as control subjects. PCRRFLP technique were used to determine the subject’s genotype using the RsaI restriction enzyme, then the statistical analysis were conducted using Fisher’s exact test calculations. From all the subjects involved, 99% of the genotypes belonged to CC genotype indicated by four bands and 1% belonged to CT genotype indicated by five bands. No homozygous TT genotype was detected in both study groups. This study implies that the subject population involed is at Hardy-Weinberg equilibrium. However, the p-value generated from the Fisher’s exact test shows that there was no association between the CT/TT genotype and AA conditions (p>0.05). In conclusion, this study found that rs2476601 from the PTPN22 gene is not associated with the emergence of AA in the Indonesian population."

"Kanker kolorektal merupakan keganasan yang melibatkan kolon dan rektum. Pada tahun 2020, kanker kolorektal yang menempati peringkat keempat di Indonesia dengan insiden terbanyak. Pengobatan yang diberikan untuk kanker kolorektal masih memiliki kelemahan seperti selektivitas rendah dan toksisitas sistemik, sehingga mendorong pencarian terhadap obat yang lebih aman, yaitu tipe terapi tertarget. Salah satu target pada kanker kolorektal yaitu c-Met. Tirosin Kinase MET (c-Met) merupakan reseptor jenis tirosin kinase yang dalam kondisi yang menyimpang dapat memicu kanker kolorektal dengan menstimulasi banyak jalur persinyalan seperti Protein Kinase Mitogen- Teraktivasi/Kinase yang diatur sinyal Ekstraseluler (MAPK/ERK), Phosphoinositide 3- Kinase/Protein Kinase B (PI3K/AKT) dan Transduser Sinyal dan Aktivator Transkripsi Protein/Janus Kinase (STAT/JAK). Penelitian ini bertujuan untuk mendapatkan kandidat inhibitor c-Met dari senyawa bahan alam Indonesia pada situs HerbalDB dengan metode penapisan virtual. Berdasarkan hasil validasi metode, program serta parameter terbaik yang digunakan untuk penapisan virtual bahan alam adalah program autodock Vina dalam PyRx dengan parameter exhasutiveness 8, ukuran grid box 15 x 15 x 15 Å, dan jumlah mode 9. Metode penapisan virtual memperoleh 12 senyawa bahan alam Indonesia dengan energi bebas ikatan terendah (-11,1 hingga -10 kkal/mol) yaitu Leucadenone A, Erythrabyssin II, Yuehchukene, Mutatoxantin, Apigenin 7-o-(6”-o-p- kumaroilglukosida), Cinchonain IA, Prunin 6”-p-kumarat, Chitranone, 1-Isomangostin, Demetilmedikarpin, Luteolin 7-(2”-p-kumaroilglukosida), dan Pteryxin. Interaksi yang umum ditunjukan pada kedua belas ligan uji tersebut yaitu ikatan hidrogen pada Pro1158, Met1160, Tyr1230, Asp1222, Tyr1159, Arg1086, Asp1164, Arg1208, Lys1161, dan Asn1167 yang memiliki kesesuaian dengan literatur.

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Colorectal cancer is a malignancy involving the colon and rectum. In 2020, colorectal cancer is ranked fourth in Indonesia with the highest incidence. Treatment given for colorectal cancer still has weaknesses such as low selectivity and systemic toxicity, thus prompting the search for safer drugs, namely targeted types of therapy. One of the targets in colorectal cancer is c-Met. Tyrosine Kinase MET (c-Met) is a receptor type tyrosine kinase that under aberrant conditions can trigger colorectal cancer by stimulating multiple signaling pathways such as Mitogen-Activated Protein Kinases/Extracellular signal- regulated Kinases (MAPK/ERK), Phosphoinositide 3-Kinase/ Protein Kinase B (PI3K/AKT) and Signal Transducer and Activator of Transcription/Janus Kinase (STAT/JAK). This study aims to obtain candidate c-Met inhibitors from Indonesian natural compounds on the HerbalDB website by using a virtual screening method. Based on the results of method validation, the best program and parameters used for virtual screening of natural ingredients are the Vina autodock program in PyRx with exhasutiveness parameter 8, grid box size 15 x 15 x 15 Å, and number of modes 9. The virtual screening method obtained 12 Indonesian natural compounds with the bond energy (-11.1 to -10 kcal/mol) namely Leucadenone A, Erythrabyssin II, Yuehchukene, Mutatoxanthin, Apigenin 7-o-(6”-o-p-coumaroylglucoside), Cinchonain IA, Prunin 6”- p-coumarate, Chitranone, 1-Isomangostin, Demetilmedicarpin, Luteolin 7-(2”-p- coumaroylglucoside), and Pteryxin. Common interactions shown in the twelve test ligands are hydrogen bonding in Pro1158, Met1160, Tyr1230, Asp1222, Tyr1159 , Arg1086, Asp1164, Arg1208, Lys1161, and Asn1167 which are in agreement with the literature."

"Protein of seaweed . Seeaweds are consumed by people,especially who lived in the coastal areas....."

"Protein adalah salah satu unsur dalam makanan yang terdiri dari asamasam amino yang mengandung unsur karbon, hidrogen, oksigen, nitrogen, dan belerang. Identifikasi protein selama ini dilakukan dengan menggunakan metode spektroskopi konvensional misalnya spektroskopi UV-Vis dan metode Kjeldhal. Kedua metode ini membutuhkan persiapan sampel yang lama dan rumit, serta biaya yang mahal. Hal ini karena harus dilakukan pemisahan protein dari makromolekul yang lain yang tidak diinginkan dalam analisa. Spektroskopi FTIR (Fourier Transform Infrared) merupakan salah satu metode baku untuk mendeteksi struktur molekul senyawa melalui identifikasi gugus fungsi penyusun senyawa. Identifikasi protein dilakukan dengan menganalisa serapan gugus fungsi dengan Fourier Transform Infrared (FTIR). Penelitian ini bertujuan untuk mengidentifikasi protein dengan FTIR, dan mengenali puncak dari protein. Hasil penelitian menunjukkan bahwa dari ke-empat sampel (keju hewani, keju nabati, susu dan mentega) protein dapat dikenali dengan tiga peak yaitu amida III (1240-1265 cm-1) , amida IV (633-721 cm-1), dan amida VI (551-586 cm-1). Peak untuk amida III mewakili gugus CN stretching dan NH bending, amida IV mewakili gugus OCN bending dan amida VI mewakili gugus out-of plane NH bending. kadar protein relatif per karbonil untuk susu, keju hewani, keju nabati, dan mentega adalah 0,67, 1,37, 2,17, dan 1,70 dengan kadar protein 9,47 %, 19,08 %, 30,67 %, dan 24,03 %.

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Protein is one of the elements in food which consists of amino acids that contain carbon, hydrogen, oxygen, nitrogen, and sulfur. Identification of the protein had been done using conventional spectroscopic methods such as UV-Vis spectroscopy and Kjeldhal methods. Preparation of the sample for both methods were long enough, complicated, and expensive. This was because had to do separation of proteins from other macromolecules that are not desirable in the analysis. FTIR Spectroscopy (Fourier Transform Infra Red) is one of the standard methods for detecting the molecular structure of compound through the identification of functional groups that make up the compound. Identification is done by analyzing the absorption of the functional protein by Fourier Transform Infrared (FTIR). The aims of the research are to identify protein by FTIR, and describe their peaks.

The results of the research show that of four samples (cheese, vegetable cheese, milk, and butter), proteins can be identified by three peaks, that are amide III (1240-1265 cm-1), amide IV (633-721 cm-1), and amide VI (551-586 cm-1). Peak of the amide III represents the CN stretching and NH bending, amide group IV represents the OCN bending, and amide VI represents out-of plane NH bending. Protein relative levels per carbonyl for milk, cheese, vegetable cheese, and butter are 0.67, 1.37, 2.17, and 1.70 with a protein content of 9.47%, 19.08%, 30.67% , and 24.03%."