Статті в журналах з теми "Prediction of binding affinity"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Prediction of binding affinity".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
Wang, Debby D., Haoran Xie, and Hong Yan. "Proteo-chemometrics interaction fingerprints of protein–ligand complexes predict binding affinity." Bioinformatics 37, no. 17 (February 27, 2021): 2570–79. http://dx.doi.org/10.1093/bioinformatics/btab132.
Повний текст джерелаKondabala, Rajesh, Vijay Kumar, Amjad Ali, and Manjit Kaur. "A novel astrophysics-based framework for prediction of binding affinity of glucose binder." Modern Physics Letters B 34, no. 31 (July 25, 2020): 2050346. http://dx.doi.org/10.1142/s0217984920503467.
Повний текст джерелаAntunes, Dinler A., Jayvee R. Abella, Didier Devaurs, Maurício M. Rigo, and Lydia E. Kavraki. "Structure-based Methods for Binding Mode and Binding Affinity Prediction for Peptide-MHC Complexes." Current Topics in Medicinal Chemistry 18, no. 26 (January 24, 2019): 2239–55. http://dx.doi.org/10.2174/1568026619666181224101744.
Повний текст джерелаKwon, Yongbeom, Woong-Hee Shin, Junsu Ko, and Juyong Lee. "AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks." International Journal of Molecular Sciences 21, no. 22 (November 10, 2020): 8424. http://dx.doi.org/10.3390/ijms21228424.
Повний текст джерелаShar, Piar Ali, Weiyang Tao, Shuo Gao, Chao Huang, Bohui Li, Wenjuan Zhang, Mohamed Shahen, Chunli Zheng, Yaofei Bai, and Yonghua Wang. "Pred-binding: large-scale protein–ligand binding affinity prediction." Journal of Enzyme Inhibition and Medicinal Chemistry 31, no. 6 (February 18, 2016): 1443–50. http://dx.doi.org/10.3109/14756366.2016.1144594.
Повний текст джерелаNguyen, Austin, Abhinav Nellore, and Reid F. Thompson. "Discordant results among major histocompatibility complex binding affinity prediction tools." F1000Research 12 (June 7, 2023): 617. http://dx.doi.org/10.12688/f1000research.132538.1.
Повний текст джерелаLangham, James J., Ann E. Cleves, Russell Spitzer, Daniel Kirshner, and Ajay N. Jain. "Physical Binding Pocket Induction for Affinity Prediction." Journal of Medicinal Chemistry 52, no. 19 (October 8, 2009): 6107–25. http://dx.doi.org/10.1021/jm901096y.
Повний текст джерелаÖztürk, Hakime, Arzucan Özgür, and Elif Ozkirimli. "DeepDTA: deep drug–target binding affinity prediction." Bioinformatics 34, no. 17 (September 1, 2018): i821—i829. http://dx.doi.org/10.1093/bioinformatics/bty593.
Повний текст джерелаWang, Xun, Dayan Liu, Jinfu Zhu, Alfonso Rodriguez-Paton, and Tao Song. "CSConv2d: A 2-D Structural Convolution Neural Network with a Channel and Spatial Attention Mechanism for Protein-Ligand Binding Affinity Prediction." Biomolecules 11, no. 5 (April 27, 2021): 643. http://dx.doi.org/10.3390/biom11050643.
Повний текст джерелаPantsar, Tatu, and Antti Poso. "Binding Affinity via Docking: Fact and Fiction." Molecules 23, no. 8 (July 30, 2018): 1899. http://dx.doi.org/10.3390/molecules23081899.
Повний текст джерелаKappel, Kalli, Inga Jarmoskaite, Pavanapuresan P. Vaidyanathan, William J. Greenleaf, Daniel Herschlag, and Rhiju Das. "Blind tests of RNA–protein binding affinity prediction." Proceedings of the National Academy of Sciences 116, no. 17 (April 8, 2019): 8336–41. http://dx.doi.org/10.1073/pnas.1819047116.
Повний текст джерелаKim, Ryangguk, and Jeffrey Skolnick. "Assessment of programs for ligand binding affinity prediction." Journal of Computational Chemistry 29, no. 8 (2008): 1316–31. http://dx.doi.org/10.1002/jcc.20893.
Повний текст джерелаMarshall, K. W., K. J. Wilson, J. Liang, A. Woods, D. Zaller, and J. B. Rothbard. "Prediction of peptide affinity to HLA DRB1*0401." Journal of Immunology 154, no. 11 (June 1, 1995): 5927–33. http://dx.doi.org/10.4049/jimmunol.154.11.5927.
Повний текст джерелаGim, Mogan, Junseok Choe, Seungheun Baek, Jueon Park, Chaeeun Lee, Minjae Ju, Sumin Lee, and Jaewoo Kang. "ArkDTA: attention regularization guided by non-covalent interactions for explainable drug–target binding affinity prediction." Bioinformatics 39, Supplement_1 (June 1, 2023): i448—i457. http://dx.doi.org/10.1093/bioinformatics/btad207.
Повний текст джерелаWalpoth, Belinda Nazan, and Burak Erman. "Regulation of ryanodine receptor RyR2 by protein-protein interactions: prediction of a PKA binding site on the N-terminal domain of RyR2 and its relation to disease causing mutations." F1000Research 4 (January 28, 2015): 29. http://dx.doi.org/10.12688/f1000research.5858.1.
Повний текст джерелаHenrich, Stefan, Isabella Feierberg, Ting Wang, Niklas Blomberg, and Rebecca C. Wade. "Comparative binding energy analysis for binding affinity and target selectivity prediction." Proteins: Structure, Function, and Bioinformatics 78, no. 1 (August 17, 2009): 135–53. http://dx.doi.org/10.1002/prot.22579.
Повний текст джерелаLimbu, Sarita, and Sivanesan Dakshanamurthy. "A New Hybrid Neural Network Deep Learning Method for Protein–Ligand Binding Affinity Prediction and De Novo Drug Design." International Journal of Molecular Sciences 23, no. 22 (November 11, 2022): 13912. http://dx.doi.org/10.3390/ijms232213912.
Повний текст джерелаOUYANG, XUCHANG, STEPHANUS DANIEL HANDOKO, and CHEE KEONG KWOH. "CSCORE: A SIMPLE YET EFFECTIVE SCORING FUNCTION FOR PROTEIN–LIGAND BINDING AFFINITY PREDICTION USING MODIFIED CMAC LEARNING ARCHITECTURE." Journal of Bioinformatics and Computational Biology 09, supp01 (December 2011): 1–14. http://dx.doi.org/10.1142/s021972001100577x.
Повний текст джерелаPandey, Mohit, Mariia Radaeva, Hazem Mslati, Olivia Garland, Michael Fernandez, Martin Ester, and Artem Cherkasov. "Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention Networks." Molecules 27, no. 16 (August 11, 2022): 5114. http://dx.doi.org/10.3390/molecules27165114.
Повний текст джерелаKalemati, Mahmood, Mojtaba Zamani Emani, and Somayyeh Koohi. "BiComp-DTA: Drug-target binding affinity prediction through complementary biological-related and compression-based featurization approach." PLOS Computational Biology 19, no. 3 (March 31, 2023): e1011036. http://dx.doi.org/10.1371/journal.pcbi.1011036.
Повний текст джерелаUsha, Singaravelu, and Samuel Selvaraj. "Prediction of kinase-inhibitor binding affinity using energetic parameters." Bioinformation 12, no. 3 (June 15, 2016): 172–81. http://dx.doi.org/10.6026/97320630012172.
Повний текст джерелаDas, Sourav, Michael P. Krein, and Curt M. Breneman. "Binding Affinity Prediction with Property-Encoded Shape Distribution Signatures." Journal of Chemical Information and Modeling 50, no. 2 (January 22, 2010): 298–308. http://dx.doi.org/10.1021/ci9004139.
Повний текст джерелаYugandhar, K., and M. Michael Gromiha. "Protein–protein binding affinity prediction from amino acid sequence." Bioinformatics 30, no. 24 (August 28, 2014): 3583–89. http://dx.doi.org/10.1093/bioinformatics/btu580.
Повний текст джерелаO'Donnell, Timothy J., Alex Rubinsteyn, Maria Bonsack, Angelika B. Riemer, Uri Laserson, and Jeff Hammerbacher. "MHCflurry: Open-Source Class I MHC Binding Affinity Prediction." Cell Systems 7, no. 1 (July 2018): 129–32. http://dx.doi.org/10.1016/j.cels.2018.05.014.
Повний текст джерелаFan, Cong, Ping-pui Wong, and Huiying Zhao. "DStruBTarget: Integrating Binding Affinity with Structure Similarity for Ligand-Binding Protein Prediction." Journal of Chemical Information and Modeling 60, no. 1 (December 13, 2019): 400–409. http://dx.doi.org/10.1021/acs.jcim.9b00717.
Повний текст джерелаChen, Zihao, Long Hu, Bao-Ting Zhang, Aiping Lu, Yaofeng Wang, Yuanyuan Yu, and Ge Zhang. "Artificial Intelligence in Aptamer–Target Binding Prediction." International Journal of Molecular Sciences 22, no. 7 (March 30, 2021): 3605. http://dx.doi.org/10.3390/ijms22073605.
Повний текст джерелаZeng, Haoyang, and David K. Gifford. "DeepLigand: accurate prediction of MHC class I ligands using peptide embedding." Bioinformatics 35, no. 14 (July 2019): i278—i283. http://dx.doi.org/10.1093/bioinformatics/btz330.
Повний текст джерелаLi, Min, Zhangli Lu, Yifan Wu, and YaoHang Li. "BACPI: a bi-directional attention neural network for compound–protein interaction and binding affinity prediction." Bioinformatics 38, no. 7 (January 19, 2022): 1995–2002. http://dx.doi.org/10.1093/bioinformatics/btac035.
Повний текст джерелаBae, Haelee, and Hojung Nam. "GraphATT-DTA: Attention-Based Novel Representation of Interaction to Predict Drug-Target Binding Affinity." Biomedicines 11, no. 1 (December 27, 2022): 67. http://dx.doi.org/10.3390/biomedicines11010067.
Повний текст джерелаZhang, Xianfeng, Yanhui Gu, Guandong Xu, Yafei Li, Jinlan Wang, and Zhenglu Yang. "HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (June 26, 2023): 16384–85. http://dx.doi.org/10.1609/aaai.v37i13.27052.
Повний текст джерелаAnnala, Matti, Kirsti Laurila, Harri Lähdesmäki, and Matti Nykter. "A Linear Model for Transcription Factor Binding Affinity Prediction in Protein Binding Microarrays." PLoS ONE 6, no. 5 (May 26, 2011): e20059. http://dx.doi.org/10.1371/journal.pone.0020059.
Повний текст джерелаZhao, Huiying, Yuedong Yang, Mark von Itzstein, and Yaoqi Zhou. "Carbohydrate-binding protein identification by coupling structural similarity searching with binding affinity prediction." Journal of Computational Chemistry 35, no. 30 (September 15, 2014): 2177–83. http://dx.doi.org/10.1002/jcc.23730.
Повний текст джерелаStrack, Rita. "Predicting RNA–protein binding affinity." Nature Methods 16, no. 6 (May 30, 2019): 460. http://dx.doi.org/10.1038/s41592-019-0445-4.
Повний текст джерелаGhimire, Ashutosh, Hilal Tayara, Zhenyu Xuan, and Kil To Chong. "CSatDTA: Prediction of Drug–Target Binding Affinity Using Convolution Model with Self-Attention." International Journal of Molecular Sciences 23, no. 15 (July 30, 2022): 8453. http://dx.doi.org/10.3390/ijms23158453.
Повний текст джерелаWang, Debby D., Moon-Tong Chan, and Hong Yan. "Structure-based protein–ligand interaction fingerprints for binding affinity prediction." Computational and Structural Biotechnology Journal 19 (2021): 6291–300. http://dx.doi.org/10.1016/j.csbj.2021.11.018.
Повний текст джерелаHanai, Toshihiko, A. Koseki, R. Yoshikawa, M. Ueno, T. Kinoshita, and H. Homma. "Prediction of human serum albumin–drug binding affinity without albumin." Analytica Chimica Acta 454, no. 1 (March 2002): 101–8. http://dx.doi.org/10.1016/s0003-2670(01)01515-x.
Повний текст джерелаZhu, Fangqiang, Xiaohua Zhang, Jonathan E. Allen, Derek Jones, and Felice C. Lightstone. "Binding Affinity Prediction by Pairwise Function Based on Neural Network." Journal of Chemical Information and Modeling 60, no. 6 (April 27, 2020): 2766–72. http://dx.doi.org/10.1021/acs.jcim.0c00026.
Повний текст джерелаRizzi, Andrea, Steven Murkli, John N. McNeill, Wei Yao, Matthew Sullivan, Michael K. Gilson, Michael W. Chiu, et al. "Overview of the SAMPL6 host–guest binding affinity prediction challenge." Journal of Computer-Aided Molecular Design 32, no. 10 (October 2018): 937–63. http://dx.doi.org/10.1007/s10822-018-0170-6.
Повний текст джерелаSuri, Sadhana, and Sivanesan Dakshanamurthy. "IntegralVac: A Machine Learning-Based Comprehensive Multivalent Epitope Vaccine Design Method." Vaccines 10, no. 10 (October 8, 2022): 1678. http://dx.doi.org/10.3390/vaccines10101678.
Повний текст джерелаSharabi, Oz, Jason Shirian, and Julia M. Shifman. "Predicting affinity- and specificity-enhancing mutations at protein–protein interfaces." Biochemical Society Transactions 41, no. 5 (September 23, 2013): 1166–69. http://dx.doi.org/10.1042/bst20130121.
Повний текст джерелаLiang, Yigao, Shaohua Jiang, Min Gao, Fengjiao Jia, Zaoyang Wu, and Zhijian Lyu. "GLSTM-DTA: Application of Prediction Improvement Model Based on GNN and LSTM." Journal of Physics: Conference Series 2219, no. 1 (April 1, 2022): 012008. http://dx.doi.org/10.1088/1742-6596/2219/1/012008.
Повний текст джерелаZhao, Huiying, Yuedong Yang, and Yaoqi Zhou. "Highly accurate and high-resolution function prediction of RNA binding proteins by fold recognition and binding affinity prediction." RNA Biology 8, no. 6 (November 2011): 988–96. http://dx.doi.org/10.4161/rna.8.6.17813.
Повний текст джерелаFeng, Peiyuan, Jianyang Zeng, and Jianzhu Ma. "Predicting MHC-peptide binding affinity by differential boundary tree." Bioinformatics 37, Supplement_1 (July 1, 2021): i254—i261. http://dx.doi.org/10.1093/bioinformatics/btab312.
Повний текст джерелаFedyushkina, I. V., V. S. Skvortsov, I. V. Romero Reyes, and I. S. Levina. "Molecular docking and 3D-QSAR on 16a,17a-cycloalkanoprogesterone analogues as progesterone receptor ligands." Biomeditsinskaya Khimiya 59, no. 6 (2013): 622–35. http://dx.doi.org/10.18097/pbmc20135906622.
Повний текст джерелаMoshari, Mahshad, Qian Wang, Marek Michalak, Mariusz Klobukowski, and Jack Adam Tuszynski. "Computational Prediction and Experimental Validation of the Unique Molecular Mode of Action of Scoulerine." Molecules 27, no. 13 (June 21, 2022): 3991. http://dx.doi.org/10.3390/molecules27133991.
Повний текст джерелаLiu, Yang, Xia-hui Ouyang, Zhi-Xiong Xiao, Le Zhang, and Yang Cao. "A Review on the Methods of Peptide-MHC Binding Prediction." Current Bioinformatics 15, no. 8 (January 1, 2021): 878–88. http://dx.doi.org/10.2174/1574893615999200429122801.
Повний текст джерелаLi, Zhongyan, Qingqing Miao, Fugang Yan, Yang Meng, and Peng Zhou. "Machine Learning in Quantitative Protein–peptide Affinity Prediction: Implications for Therapeutic Peptide Design." Current Drug Metabolism 20, no. 3 (May 22, 2019): 170–76. http://dx.doi.org/10.2174/1389200219666181012151944.
Повний текст джерелаAgostino, Mark, and Sebastian Öther-Gee Pohl. "Wnt Binding Affinity Prediction for Putative Frizzled-Type Cysteine-Rich Domains." International Journal of Molecular Sciences 20, no. 17 (August 26, 2019): 4168. http://dx.doi.org/10.3390/ijms20174168.
Повний текст джерелаYuan, Hong, Jing Huang, and Jin Li. "Protein-ligand binding affinity prediction model based on graph attention network." Mathematical Biosciences and Engineering 18, no. 6 (2021): 9148–62. http://dx.doi.org/10.3934/mbe.2021451.
Повний текст джерелаAgrawal, Piyush, Pawan Kumar Raghav, Sherry Bhalla, Neelam Sharma, and Gajendra P. S. Raghava. "Overview of Free Software Developed for Designing Drugs Based on Protein-Small Molecules Interaction." Current Topics in Medicinal Chemistry 18, no. 13 (October 4, 2018): 1146–67. http://dx.doi.org/10.2174/1568026618666180816155131.
Повний текст джерела