Artykuły w czasopismach na temat „Protein – protein interactions (PPI)”
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Kusova, Aleksandra M., Aleksandr E. Sitnitsky, Vladimir N. Uversky i Yuriy F. Zuev. "Effect of Protein–Protein Interactions on Translational Diffusion of Spheroidal Proteins". International Journal of Molecular Sciences 23, nr 16 (17.08.2022): 9240. http://dx.doi.org/10.3390/ijms23169240.
Pełny tekst źródłaCHUA, HON NIAN, KANG NING, WING-KIN SUNG, HON WAI LEONG i LIMSOON WONG. "USING INDIRECT PROTEIN–PROTEIN INTERACTIONS FOR PROTEIN COMPLEX PREDICTION". Journal of Bioinformatics and Computational Biology 06, nr 03 (czerwiec 2008): 435–66. http://dx.doi.org/10.1142/s0219720008003497.
Pełny tekst źródłaAbdullah, Syahid, Wisnu Ananta Kusuma i Sony Hartono Wijaya. "Sequence-based prediction of protein-protein interaction using autocorrelation features and machine learning". Jurnal Teknologi dan Sistem Komputer 10, nr 1 (4.01.2022): 1–11. http://dx.doi.org/10.14710/jtsiskom.2021.13984.
Pełny tekst źródłaDong, Yun Yuan, i Xian Chun Zhang. "Nonessential-Nonhub Proteins in the Protein-Protein Interaction Network". Advanced Materials Research 934 (maj 2014): 159–64. http://dx.doi.org/10.4028/www.scientific.net/amr.934.159.
Pełny tekst źródłaPoot Velez, Albros Hermes, Fernando Fontove i Gabriel Del Rio. "Protein–Protein Interactions Efficiently Modeled by Residue Cluster Classes". International Journal of Molecular Sciences 21, nr 13 (6.07.2020): 4787. http://dx.doi.org/10.3390/ijms21134787.
Pełny tekst źródłaOrasch, Oliver, Noah Weber, Michael Müller, Amir Amanzadi, Chiara Gasbarri i Christopher Trummer. "Protein–Protein Interaction Prediction for Targeted Protein Degradation". International Journal of Molecular Sciences 23, nr 13 (24.06.2022): 7033. http://dx.doi.org/10.3390/ijms23137033.
Pełny tekst źródłaVelasco-García, Roberto, i Rocío Vargas-Martínez. "The study of protein–protein interactions in bacteria". Canadian Journal of Microbiology 58, nr 11 (listopad 2012): 1241–57. http://dx.doi.org/10.1139/w2012-104.
Pełny tekst źródłaBan Bolly, Hendrikus Masang, Yulius Hermanto, Ahmad Faried, Muhammad Zafrullah Arifin, Trajanus Laurens Yembise i Firman Fuad Wirakusumah. "Protein-protein Interaction Analysis of Contributing Molecules in Dura mater Healing Process". International Journal of ChemTech Research 13, nr 3 (2020): 73–82. http://dx.doi.org/10.20902/jctr.2019.130302.
Pełny tekst źródłaKaur, Rajpreet, Poonam Khullar i Anita Gupta. "Protein-Protein Interactions Followed by in-Situ Synthesis of Gold Nanoparticles". ECS Transactions 107, nr 1 (24.04.2022): 16375–90. http://dx.doi.org/10.1149/10701.16375ecst.
Pełny tekst źródłaYang, Lei, i 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.
Pełny tekst źródłaZhang, Jinxiong, Cheng Zhong, Hai Xiang Lin i Mian Wang. "Identifying Protein Complexes from Dynamic Temporal Interval Protein-Protein Interaction Networks". BioMed Research International 2019 (21.08.2019): 1–17. http://dx.doi.org/10.1155/2019/3726721.
Pełny tekst źródłaKlein, Mark. "Targeting Protein-Protein Interactions to Inhibit Cyclin-Dependent Kinases". Pharmaceuticals 16, nr 4 (31.03.2023): 519. http://dx.doi.org/10.3390/ph16040519.
Pełny tekst źródłaDallago, Christian, Tatyana Goldberg, Miguel Angel Andrade-Navarro, Gregorio Alanis-Lobato i Burkhard Rost. "CellMap visualizes protein-protein interactions and subcellular localization". F1000Research 6 (11.10.2017): 1824. http://dx.doi.org/10.12688/f1000research.12707.1.
Pełny tekst źródłaDallago, Christian, Tatyana Goldberg, Miguel Angel Andrade-Navarro, Gregorio Alanis-Lobato i Burkhard Rost. "CellMap visualizes protein-protein interactions and subcellular localization". F1000Research 6 (1.02.2018): 1824. http://dx.doi.org/10.12688/f1000research.12707.2.
Pełny tekst źródłaBlaszczak, Ewa, Natalia Lazarewicz, Aswani Sudevan, Robert Wysocki i Gwenaël Rabut. "Protein-fragment complementation assays for large-scale analysis of protein–protein interactions". Biochemical Society Transactions 49, nr 3 (22.06.2021): 1337–48. http://dx.doi.org/10.1042/bst20201058.
Pełny tekst źródłaKazemi-Pour, Ali, Bahram Goliaei i 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.
Pełny tekst źródłaUsman, Muhammad Syafiuddin, Wisnu Ananta Kusuma, Farit Mochamad Afendi i Rudi Heryanto. "Identification of Significant Proteins Associated with Diabetes Mellitus Using Network Analysis of Protein-Protein Interactions". Computer Engineering and Applications Journal 8, nr 1 (1.02.2019): 41–52. http://dx.doi.org/10.18495/comengapp.v8i1.283.
Pełny tekst źródłaDiansyah, Mohammad Romano, Wisnu Ananta Kusuma i Annisa Annisa. "Identification of significant protein in protein-protein interaction of Alzheimer disease using top-k representative skyline query". Jurnal Teknologi dan Sistem Komputer 9, nr 3 (24.04.2021): 126–32. http://dx.doi.org/10.14710/jtsiskom.2021.13985.
Pełny tekst źródłaAlborzi, Seyed Ziaeddin, Amina Ahmed Nacer, Hiba Najjar, David W. Ritchie i Marie-Dominique Devignes. "PPIDomainMiner: Inferring domain-domain interactions from multiple sources of protein-protein interactions". PLOS Computational Biology 17, nr 8 (9.08.2021): e1008844. http://dx.doi.org/10.1371/journal.pcbi.1008844.
Pełny tekst źródłaLiu, Hongfang, Manabu Torii, Guixian Xu i Johannes Goll. "Classification Systems for Bacterial Protein-Protein Interaction Document Retrieval". International Journal of Computational Models and Algorithms in Medicine 1, nr 1 (styczeń 2010): 34–44. http://dx.doi.org/10.4018/jcmam.2010072003.
Pełny tekst źródłaIdrees, Sobia, Åsa Pérez-Bercoff i Richard J. Edwards. "SLiM-Enrich: computational assessment of protein–protein interaction data as a source of domain-motif interactions". PeerJ 6 (31.10.2018): e5858. http://dx.doi.org/10.7717/peerj.5858.
Pełny tekst źródłaJung, Dongmin, i Xijin Ge. "PPInfer: a Bioconductor package for inferring functionally related proteins using protein interaction networks". F1000Research 6 (7.11.2017): 1969. http://dx.doi.org/10.12688/f1000research.12947.1.
Pełny tekst źródłaJung, Dongmin, i Xijin Ge. "PPInfer: a Bioconductor package for inferring functionally related proteins using protein interaction networks". F1000Research 6 (8.12.2017): 1969. http://dx.doi.org/10.12688/f1000research.12947.2.
Pełny tekst źródłaJung, Dongmin, i Xijin Ge. "PPInfer: a Bioconductor package for inferring functionally related proteins using protein interaction networks". F1000Research 6 (12.03.2018): 1969. http://dx.doi.org/10.12688/f1000research.12947.3.
Pełny tekst źródłaDash, Radha Charan, i Kyle Hadden. "Protein–Protein Interactions in Translesion Synthesis". Molecules 26, nr 18 (13.09.2021): 5544. http://dx.doi.org/10.3390/molecules26185544.
Pełny tekst źródłaMilano, Marianna, Giuseppe Agapito i Mario Cannataro. "Challenges and Limitations of Biological Network Analysis". BioTech 11, nr 3 (7.07.2022): 24. http://dx.doi.org/10.3390/biotech11030024.
Pełny tekst źródłaWinkler, Joanna, Evelien Mylle, Andreas De Meyer, Benjamin Pavie, Julie Merchie, Peter Grones i Dani�l Van Damme. "Visualizing protein–protein interactions in plants by rapamycin-dependent delocalization". Plant Cell 33, nr 4 (25.01.2021): 1101–17. http://dx.doi.org/10.1093/plcell/koab004.
Pełny tekst źródłaGopalakrishnan, Sathyanarayanan, i Swaminathan Venkatraman. "Prediction of influential proteins and enzymes of certain diseases using a directed unimodular hypergraph". Mathematical Biosciences and Engineering 21, nr 1 (2023): 325–45. http://dx.doi.org/10.3934/mbe.2024015.
Pełny tekst źródłaHu, Yang, Ying Zhang, Jun Ren, Yadong Wang, Zhenzhen Wang i 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.
Pełny tekst źródłaIVANOV, ALEXIS S., OKSANA V. GNEDENKO, ANDREY A. MOLNAR, YURY V. MEZENTSEV, ANDREY V. LISITSA i ALEXANDER I. ARCHAKOV. "PROTEIN–PROTEIN INTERACTIONS AS NEW TARGETS FOR DRUG DESIGN: VIRTUAL AND EXPERIMENTAL APPROACHES". Journal of Bioinformatics and Computational Biology 05, nr 02b (kwiecień 2007): 579–92. http://dx.doi.org/10.1142/s0219720007002825.
Pełny tekst źródłaYou, Zhu-Hong, Shuai Li, Xin Gao, Xin Luo i 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.
Pełny tekst źródłaChasapis, Christos T., Konstantinos Kelaidonis, Harry Ridgway, Vasso Apostolopoulos i John M. Matsoukas. "The Human Myelin Proteome and Sub-Metalloproteome Interaction Map: Relevance to Myelin-Related Neurological Diseases". Brain Sciences 12, nr 4 (24.03.2022): 434. http://dx.doi.org/10.3390/brainsci12040434.
Pełny tekst źródłaXu, Da, Hanxiao Xu, Yusen Zhang, Wei Chen i Rui Gao. "Protein-Protein Interactions Prediction Based on Graph Energy and Protein Sequence Information". Molecules 25, nr 8 (16.04.2020): 1841. http://dx.doi.org/10.3390/molecules25081841.
Pełny tekst źródłaLarsen, Peter E., Frank Collart i Yang Dai. "Incorporating Network Topology Improves Prediction of Protein Interaction Networks from Transcriptomic Data". International Journal of Knowledge Discovery in Bioinformatics 1, nr 3 (lipiec 2010): 1–19. http://dx.doi.org/10.4018/jkdb.2010070101.
Pełny tekst źródłaNezamuldeen, Leena, i Mohsin Saleet Jafri. "Protein–Protein Interaction Network Extraction Using Text Mining Methods Adds Insight into Autism Spectrum Disorder". Biology 12, nr 10 (18.10.2023): 1344. http://dx.doi.org/10.3390/biology12101344.
Pełny tekst źródłaGemovic, Branislava, Neven Sumonja, Radoslav Davidovic, Vladimir Perovic i Nevena Veljkovic. "Mapping of Protein-Protein Interactions: Web-Based Resources for Revealing Interactomes". Current Medicinal Chemistry 26, nr 21 (19.09.2019): 3890–910. http://dx.doi.org/10.2174/0929867325666180214113704.
Pełny tekst źródłaWang, Derui, i Jingyu Hou. "Explore the hidden treasure in protein–protein interaction networks — An iterative model for predicting protein functions". Journal of Bioinformatics and Computational Biology 13, nr 05 (październik 2015): 1550026. http://dx.doi.org/10.1142/s0219720015500262.
Pełny tekst źródłaEl Khamlichi, Chayma, Flora Reverchon-Assadi, Nadège Hervouet-Coste, Lauren Blot, Eric Reiter i Séverine Morisset-Lopez. "Bioluminescence Resonance Energy Transfer as a Method to Study Protein-Protein Interactions: Application to G Protein Coupled Receptor Biology". Molecules 24, nr 3 (1.02.2019): 537. http://dx.doi.org/10.3390/molecules24030537.
Pełny tekst źródłaOhue, Masahito, Yuki Kojima i Takatsugu Kosugi. "Generating Potential Protein-Protein Interaction Inhibitor Molecules Based on Physicochemical Properties". Molecules 28, nr 15 (26.07.2023): 5652. http://dx.doi.org/10.3390/molecules28155652.
Pełny tekst źródłaGhedira, Kais, Yosr Hamdi, Abir El Béji i Houcemeddine Othman. "An Integrative Computational Approach for the Prediction of Human-Plasmodium Protein-Protein Interactions". BioMed Research International 2020 (19.12.2020): 1–11. http://dx.doi.org/10.1155/2020/2082540.
Pełny tekst źródłaWilson, Jennifer L., Alessio Gravina i 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, nr 1 (styczeń 2022): 13–24. http://dx.doi.org/10.1093/intbio/zyac002.
Pełny tekst źródłaBusler, Valerie J., Victor J. Torres, Mark S. McClain, Oscar Tirado, David B. Friedman i Timothy L. Cover. "Protein-Protein Interactions among Helicobacter pylori Cag Proteins". Journal of Bacteriology 188, nr 13 (1.07.2006): 4787–800. http://dx.doi.org/10.1128/jb.00066-06.
Pełny tekst źródłaKosugi, Takatsugu, i Masahito Ohue. "Quantitative Estimate Index for Early-Stage Screening of Compounds Targeting Protein-Protein Interactions". International Journal of Molecular Sciences 22, nr 20 (10.10.2021): 10925. http://dx.doi.org/10.3390/ijms222010925.
Pełny tekst źródłaSun, Xiao-Fei, i Salam Pradeep Singh. "Network pharmacology integrated molecular docking demonstrates the therapeutic mode of Panax ginseng against ovarian cancer". Tropical Journal of Pharmaceutical Research 22, nr 3 (19.04.2023): 589–96. http://dx.doi.org/10.4314/tjpr.v22i3.16.
Pełny tekst źródłaGoldsmith, Mark, Harto Saarinen, Guillermo García-Pérez, Joonas Malmi, Matteo A. C. Rossi i Sabrina Maniscalco. "Link Prediction with Continuous-Time Classical and Quantum Walks". Entropy 25, nr 5 (28.04.2023): 730. http://dx.doi.org/10.3390/e25050730.
Pełny tekst źródłaXu, Amy Y., Nicholas J. Clark, Joseph Pollastrini, Maribel Espinoza, Hyo-Jin Kim, Sekhar Kanapuram, Bruce Kerwin i in. "Effects of Monovalent Salt on Protein-Protein Interactions of Dilute and Concentrated Monoclonal Antibody Formulations". Antibodies 11, nr 2 (31.03.2022): 24. http://dx.doi.org/10.3390/antib11020024.
Pełny tekst źródłaLi, Xue, Lifeng Yang, Xiaopan Zhang i Xiong Jiao. "Prediction of Protein-Protein Interactions Based on Domain". Computational and Mathematical Methods in Medicine 2019 (21.08.2019): 1–7. http://dx.doi.org/10.1155/2019/5238406.
Pełny tekst źródłaLi, Meijing, Tsendsuren Munkhdalai, Xiuming Yu i Keun Ho Ryu. "A Novel Approach for Protein-Named Entity Recognition and Protein-Protein Interaction Extraction". Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/942435.
Pełny tekst źródłaStrotmann, Vivien I., i Yvonne Stahl. "Visualisation of in vivo protein-protein interactions". Journal of Experimental Botany, 8.04.2022. http://dx.doi.org/10.1093/jxb/erac139.
Pełny tekst źródłaWu, Zhourun, Qing Liao, Shixi Fan i Bin Liu. "idenPC-CAP: Identify protein complexes from weighted RNA-protein heterogeneous interaction networks using co-assemble partner relation". Briefings in Bioinformatics, 18.12.2020. http://dx.doi.org/10.1093/bib/bbaa372.
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