Artigos de revistas sobre o tema "Protein interactions (PPI)"
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CHUA, HON NIAN, KANG NING, WING-KIN SUNG, HON WAI LEONG e LIMSOON WONG. "USING INDIRECT PROTEIN–PROTEIN INTERACTIONS FOR PROTEIN COMPLEX PREDICTION". Journal of Bioinformatics and Computational Biology 06, n.º 03 (junho de 2008): 435–66. http://dx.doi.org/10.1142/s0219720008003497.
Texto completo da fonteKusova, Aleksandra M., Aleksandr E. Sitnitsky, Vladimir N. Uversky e Yuriy F. Zuev. "Effect of Protein–Protein Interactions on Translational Diffusion of Spheroidal Proteins". International Journal of Molecular Sciences 23, n.º 16 (17 de agosto de 2022): 9240. http://dx.doi.org/10.3390/ijms23169240.
Texto completo da fontePoot Velez, Albros Hermes, Fernando Fontove e Gabriel Del Rio. "Protein–Protein Interactions Efficiently Modeled by Residue Cluster Classes". International Journal of Molecular Sciences 21, n.º 13 (6 de julho de 2020): 4787. http://dx.doi.org/10.3390/ijms21134787.
Texto completo da fonteVelasco-García, Roberto, e Rocío Vargas-Martínez. "The study of protein–protein interactions in bacteria". Canadian Journal of Microbiology 58, n.º 11 (novembro de 2012): 1241–57. http://dx.doi.org/10.1139/w2012-104.
Texto completo da fonteKaur, Rajpreet, Poonam Khullar e Anita Gupta. "Protein-Protein Interactions Followed by in-Situ Synthesis of Gold Nanoparticles". ECS Transactions 107, n.º 1 (24 de abril de 2022): 16375–90. http://dx.doi.org/10.1149/10701.16375ecst.
Texto completo da fonteYang, Lei, e Xianglong Tang. "Protein-Protein Interactions Prediction Based on Iterative Clique Extension with Gene Ontology Filtering". Scientific World Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/523634.
Texto completo da fonteAbdullah, Syahid, Wisnu Ananta Kusuma e Sony Hartono Wijaya. "Sequence-based prediction of protein-protein interaction using autocorrelation features and machine learning". Jurnal Teknologi dan Sistem Komputer 10, n.º 1 (4 de janeiro de 2022): 1–11. http://dx.doi.org/10.14710/jtsiskom.2021.13984.
Texto completo da fonteOrasch, Oliver, Noah Weber, Michael Müller, Amir Amanzadi, Chiara Gasbarri e Christopher Trummer. "Protein–Protein Interaction Prediction for Targeted Protein Degradation". International Journal of Molecular Sciences 23, n.º 13 (24 de junho de 2022): 7033. http://dx.doi.org/10.3390/ijms23137033.
Texto completo da fonteKlein, Mark. "Targeting Protein-Protein Interactions to Inhibit Cyclin-Dependent Kinases". Pharmaceuticals 16, n.º 4 (31 de março de 2023): 519. http://dx.doi.org/10.3390/ph16040519.
Texto completo da fonteZhang, Jinxiong, Cheng Zhong, Hai Xiang Lin e Mian Wang. "Identifying Protein Complexes from Dynamic Temporal Interval Protein-Protein Interaction Networks". BioMed Research International 2019 (21 de agosto de 2019): 1–17. http://dx.doi.org/10.1155/2019/3726721.
Texto completo da fonteBan Bolly, Hendrikus Masang, Yulius Hermanto, Ahmad Faried, Muhammad Zafrullah Arifin, Trajanus Laurens Yembise e Firman Fuad Wirakusumah. "Protein-protein Interaction Analysis of Contributing Molecules in Dura mater Healing Process". International Journal of ChemTech Research 13, n.º 3 (2020): 73–82. http://dx.doi.org/10.20902/jctr.2019.130302.
Texto completo da fonteAlborzi, Seyed Ziaeddin, Amina Ahmed Nacer, Hiba Najjar, David W. Ritchie e Marie-Dominique Devignes. "PPIDomainMiner: Inferring domain-domain interactions from multiple sources of protein-protein interactions". PLOS Computational Biology 17, n.º 8 (9 de agosto de 2021): e1008844. http://dx.doi.org/10.1371/journal.pcbi.1008844.
Texto completo da fonteDallago, Christian, Tatyana Goldberg, Miguel Angel Andrade-Navarro, Gregorio Alanis-Lobato e Burkhard Rost. "CellMap visualizes protein-protein interactions and subcellular localization". F1000Research 6 (11 de outubro de 2017): 1824. http://dx.doi.org/10.12688/f1000research.12707.1.
Texto completo da fonteDallago, Christian, Tatyana Goldberg, Miguel Angel Andrade-Navarro, Gregorio Alanis-Lobato e Burkhard Rost. "CellMap visualizes protein-protein interactions and subcellular localization". F1000Research 6 (1 de fevereiro de 2018): 1824. http://dx.doi.org/10.12688/f1000research.12707.2.
Texto completo da fonteDong, Yun Yuan, e Xian Chun Zhang. "Nonessential-Nonhub Proteins in the Protein-Protein Interaction Network". Advanced Materials Research 934 (maio de 2014): 159–64. http://dx.doi.org/10.4028/www.scientific.net/amr.934.159.
Texto completo da fonteKazemi-Pour, Ali, Bahram Goliaei e Hamid Pezeshk. "Protein Complex Discovery by Interaction Filtering from Protein Interaction Networks Using Mutual Rank Coexpression and Sequence Similarity". BioMed Research International 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/165186.
Texto completo da fonteLiu, Hongfang, Manabu Torii, Guixian Xu e Johannes Goll. "Classification Systems for Bacterial Protein-Protein Interaction Document Retrieval". International Journal of Computational Models and Algorithms in Medicine 1, n.º 1 (janeiro de 2010): 34–44. http://dx.doi.org/10.4018/jcmam.2010072003.
Texto completo da fonteBlaszczak, Ewa, Natalia Lazarewicz, Aswani Sudevan, Robert Wysocki e Gwenaël Rabut. "Protein-fragment complementation assays for large-scale analysis of protein–protein interactions". Biochemical Society Transactions 49, n.º 3 (22 de junho de 2021): 1337–48. http://dx.doi.org/10.1042/bst20201058.
Texto completo da fonteIdrees, Sobia, Åsa Pérez-Bercoff e Richard J. Edwards. "SLiM-Enrich: computational assessment of protein–protein interaction data as a source of domain-motif interactions". PeerJ 6 (31 de outubro de 2018): e5858. http://dx.doi.org/10.7717/peerj.5858.
Texto completo da fonteJung, Dongmin, e Xijin Ge. "PPInfer: a Bioconductor package for inferring functionally related proteins using protein interaction networks". F1000Research 6 (7 de novembro de 2017): 1969. http://dx.doi.org/10.12688/f1000research.12947.1.
Texto completo da fonteJung, Dongmin, e Xijin Ge. "PPInfer: a Bioconductor package for inferring functionally related proteins using protein interaction networks". F1000Research 6 (8 de dezembro de 2017): 1969. http://dx.doi.org/10.12688/f1000research.12947.2.
Texto completo da fonteJung, Dongmin, e Xijin Ge. "PPInfer: a Bioconductor package for inferring functionally related proteins using protein interaction networks". F1000Research 6 (12 de março de 2018): 1969. http://dx.doi.org/10.12688/f1000research.12947.3.
Texto completo da fonteGopalakrishnan, Sathyanarayanan, e Swaminathan Venkatraman. "Prediction of influential proteins and enzymes of certain diseases using a directed unimodular hypergraph". Mathematical Biosciences and Engineering 21, n.º 1 (2023): 325–45. http://dx.doi.org/10.3934/mbe.2024015.
Texto completo da fonteMilano, Marianna, Giuseppe Agapito e Mario Cannataro. "Challenges and Limitations of Biological Network Analysis". BioTech 11, n.º 3 (7 de julho de 2022): 24. http://dx.doi.org/10.3390/biotech11030024.
Texto completo da fonteUsman, Muhammad Syafiuddin, Wisnu Ananta Kusuma, Farit Mochamad Afendi e Rudi Heryanto. "Identification of Significant Proteins Associated with Diabetes Mellitus Using Network Analysis of Protein-Protein Interactions". Computer Engineering and Applications Journal 8, n.º 1 (1 de fevereiro de 2019): 41–52. http://dx.doi.org/10.18495/comengapp.v8i1.283.
Texto completo da fonteYou, Zhu-Hong, Shuai Li, Xin Gao, Xin Luo e Zhen Ji. "Large-Scale Protein-Protein Interactions Detection by Integrating Big Biosensing Data with Computational Model". BioMed Research International 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/598129.
Texto completo da fonteKosugi, Takatsugu, e Masahito Ohue. "Quantitative Estimate Index for Early-Stage Screening of Compounds Targeting Protein-Protein Interactions". International Journal of Molecular Sciences 22, n.º 20 (10 de outubro de 2021): 10925. http://dx.doi.org/10.3390/ijms222010925.
Texto completo da fonteWinkler, Joanna, Evelien Mylle, Andreas De Meyer, Benjamin Pavie, Julie Merchie, Peter Grones e Dani�l Van Damme. "Visualizing protein–protein interactions in plants by rapamycin-dependent delocalization". Plant Cell 33, n.º 4 (25 de janeiro de 2021): 1101–17. http://dx.doi.org/10.1093/plcell/koab004.
Texto completo da fonteEl Khamlichi, Chayma, Flora Reverchon-Assadi, Nadège Hervouet-Coste, Lauren Blot, Eric Reiter e Séverine Morisset-Lopez. "Bioluminescence Resonance Energy Transfer as a Method to Study Protein-Protein Interactions: Application to G Protein Coupled Receptor Biology". Molecules 24, n.º 3 (1 de fevereiro de 2019): 537. http://dx.doi.org/10.3390/molecules24030537.
Texto completo da fonteGemovic, Branislava, Neven Sumonja, Radoslav Davidovic, Vladimir Perovic e Nevena Veljkovic. "Mapping of Protein-Protein Interactions: Web-Based Resources for Revealing Interactomes". Current Medicinal Chemistry 26, n.º 21 (19 de setembro de 2019): 3890–910. http://dx.doi.org/10.2174/0929867325666180214113704.
Texto completo da fonteKang, Jee Eun, Ji Hae Jun, Jung Hyun Kwon, Ju-Hyun Lee, Kidong Hwang, Sungjong Kim e Namhee Jeong. "Arabidopsis Transcription Regulatory Factor Domain/Domain Interaction Analysis Tool—Liquid/Liquid Phase Separation, Oligomerization, GO Analysis: A Toolkit for Interaction Data-Based Domain Analysis". Genes 14, n.º 7 (19 de julho de 2023): 1476. http://dx.doi.org/10.3390/genes14071476.
Texto completo da fonteXu, Amy Y., Nicholas J. Clark, Joseph Pollastrini, Maribel Espinoza, Hyo-Jin Kim, Sekhar Kanapuram, Bruce Kerwin et al. "Effects of Monovalent Salt on Protein-Protein Interactions of Dilute and Concentrated Monoclonal Antibody Formulations". Antibodies 11, n.º 2 (31 de março de 2022): 24. http://dx.doi.org/10.3390/antib11020024.
Texto completo da fonteIVANOV, ALEXIS S., OKSANA V. GNEDENKO, ANDREY A. MOLNAR, YURY V. MEZENTSEV, ANDREY V. LISITSA e ALEXANDER I. ARCHAKOV. "PROTEIN–PROTEIN INTERACTIONS AS NEW TARGETS FOR DRUG DESIGN: VIRTUAL AND EXPERIMENTAL APPROACHES". Journal of Bioinformatics and Computational Biology 05, n.º 02b (abril de 2007): 579–92. http://dx.doi.org/10.1142/s0219720007002825.
Texto completo da fonteGoldsmith, Mark, Harto Saarinen, Guillermo García-Pérez, Joonas Malmi, Matteo A. C. Rossi e Sabrina Maniscalco. "Link Prediction with Continuous-Time Classical and Quantum Walks". Entropy 25, n.º 5 (28 de abril de 2023): 730. http://dx.doi.org/10.3390/e25050730.
Texto completo da fonteOhue, Masahito, Yuki Kojima e Takatsugu Kosugi. "Generating Potential Protein-Protein Interaction Inhibitor Molecules Based on Physicochemical Properties". Molecules 28, n.º 15 (26 de julho de 2023): 5652. http://dx.doi.org/10.3390/molecules28155652.
Texto completo da fonteLarsen, Peter E., Frank Collart e Yang Dai. "Incorporating Network Topology Improves Prediction of Protein Interaction Networks from Transcriptomic Data". International Journal of Knowledge Discovery in Bioinformatics 1, n.º 3 (julho de 2010): 1–19. http://dx.doi.org/10.4018/jkdb.2010070101.
Texto completo da fonteChasapis, Christos T., Konstantinos Kelaidonis, Harry Ridgway, Vasso Apostolopoulos e John M. Matsoukas. "The Human Myelin Proteome and Sub-Metalloproteome Interaction Map: Relevance to Myelin-Related Neurological Diseases". Brain Sciences 12, n.º 4 (24 de março de 2022): 434. http://dx.doi.org/10.3390/brainsci12040434.
Texto completo da fonteCao, Buwen, Jiawei Luo, Cheng Liang e Shulin Wang. "Identifying Protein Complexes by Combining Network Topology and Biological Characteristics". Journal of Computational and Theoretical Nanoscience 13, n.º 10 (1 de outubro de 2016): 7666–75. http://dx.doi.org/10.1166/jctn.2016.6084.
Texto completo da fonteDash, Radha Charan, e Kyle Hadden. "Protein–Protein Interactions in Translesion Synthesis". Molecules 26, n.º 18 (13 de setembro de 2021): 5544. http://dx.doi.org/10.3390/molecules26185544.
Texto completo da fonteGUI, YUANMIAO, RUJING WANG, YUANYUAN WEI e XUE WANG. "DNN-PPI: A LARGE-SCALE PREDICTION OF PROTEIN–PROTEIN INTERACTIONS BASED ON DEEP NEURAL NETWORKS". Journal of Biological Systems 27, n.º 01 (março de 2019): 1–18. http://dx.doi.org/10.1142/s0218339019500013.
Texto completo da fonteWilson, Jennifer L., Alessio Gravina e Kevin Grimes. "From random to predictive: a context-specific interaction framework improves selection of drug protein–protein interactions for unknown drug pathways". Integrative Biology 14, n.º 1 (janeiro de 2022): 13–24. http://dx.doi.org/10.1093/intbio/zyac002.
Texto completo da fonteHu, Yang, Ying Zhang, Jun Ren, Yadong Wang, Zhenzhen Wang e Jun Zhang. "Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network". BioMed Research International 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/5313050.
Texto completo da fonteNezamuldeen, Leena, e Mohsin Saleet Jafri. "Protein–Protein Interaction Network Extraction Using Text Mining Methods Adds Insight into Autism Spectrum Disorder". Biology 12, n.º 10 (18 de outubro de 2023): 1344. http://dx.doi.org/10.3390/biology12101344.
Texto completo da fonteYao, Yu, Xiuquan Du, Yanyu Diao e Huaixu Zhu. "An integration of deep learning with feature embedding for protein–protein interaction prediction". PeerJ 7 (17 de junho de 2019): e7126. http://dx.doi.org/10.7717/peerj.7126.
Texto completo da fonteXu, Da, Hanxiao Xu, Yusen Zhang, Wei Chen e Rui Gao. "Protein-Protein Interactions Prediction Based on Graph Energy and Protein Sequence Information". Molecules 25, n.º 8 (16 de abril de 2020): 1841. http://dx.doi.org/10.3390/molecules25081841.
Texto completo da fonteWu, Ke-Jia, Pui-Man Lei, Hao Liu, Chun Wu, Chung-Hang Leung e Dik-Lung Ma. "Mimicking Strategy for Protein–Protein Interaction Inhibitor Discovery by Virtual Screening". Molecules 24, n.º 24 (4 de dezembro de 2019): 4428. http://dx.doi.org/10.3390/molecules24244428.
Texto completo da fonteXu, Yan, Wen Hu, Zhiqiang Chang, Huizi DuanMu, Shanzhen Zhang, Zhenqi Li, Zihui Li, Lili Yu e Xia Li. "Prediction of human protein–protein interaction by a mixed Bayesian model and its application to exploring underlying cancer-related pathway crosstalk". Journal of The Royal Society Interface 8, n.º 57 (13 de outubro de 2010): 555–67. http://dx.doi.org/10.1098/rsif.2010.0384.
Texto completo da fonteSun, Xiao-Fei, e Salam Pradeep Singh. "Network pharmacology integrated molecular docking demonstrates the therapeutic mode of Panax ginseng against ovarian cancer". Tropical Journal of Pharmaceutical Research 22, n.º 3 (19 de abril de 2023): 589–96. http://dx.doi.org/10.4314/tjpr.v22i3.16.
Texto completo da fonteWang, Lei, Lixiao Zhang, Li Li, Jingsheng Jiang, Zhen Zheng, Jialin Shang, Chengxiang Wang et al. "Small-molecule inhibitor targeting the Hsp90-Cdc37 protein-protein interaction in colorectal cancer". Science Advances 5, n.º 9 (setembro de 2019): eaax2277. http://dx.doi.org/10.1126/sciadv.aax2277.
Texto completo da fonteMewara, Bhawna, Gunjan Sahni, Soniya Lalwani e Rajesh Kumar. "CAA-PPI: A Computational Feature Design to Predict Protein–Protein Interactions Using Different Encoding Strategies". AI 4, n.º 2 (28 de abril de 2023): 385–400. http://dx.doi.org/10.3390/ai4020020.
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