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Publication search results
found 36 matches
- 2023
- Indaco Biazzo:
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems. CoRR abs/2302.08347 (2023) - Umberto Lupo, Damiano Sgarbossa, Anne-Florence Bitbol:
Pairing interacting protein sequences using masked language modeling. CoRR abs/2308.07136 (2023) - 2022
- Eugene Uwiragiye, Kristen L. Rhinehardt:
TFIDF-Random Forest: Prediction of Aptamer-Protein Interacting Pairs. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 3032-3037 (2022) - 2021
- Ben Joseph R. Cuyacot, Ivo Durník, Cina Foroutan-Nejad, Radek Marek:
Anatomy of Base Pairing in DNA by Interacting Quantum Atoms. J. Chem. Inf. Model. 61(1): 211-222 (2021) - 2020
- Abhibhav Sharma, Buddha Singh:
AE-LGBM: Sequence-based novel approach to detect interacting protein pairs via ensemble of autoencoder and LightGBM. Comput. Biol. Medicine 125: 103964 (2020) - Sarah Bartz, Christina Andreou, Guido Nolte:
Beyond Pairwise Interactions: The Totally Antisymmetric Part of the Bispectrum as Coupling Measure of at Least Three Interacting Sources. Frontiers Neuroinformatics 14: 573750 (2020) - Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison:
Classifying All Interacting Pairs in a Single Shot. WACV 2020: 2881-2890 - Thomas Gueudré, Carlo Baldassi, Andrea Pagnani, Martin Weigt:
Predicting Interacting Protein Pairs by Coevolutionary Paralog Matching. Protein-Protein Interaction Networks 2020: 57-65 - Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison:
Classifying All Interacting Pairs in a Single Shot. CoRR abs/2001.04360 (2020) - Prem Prakash, Arunima Banerjee, Pavan Kumar Perepu:
Determination of the relative inclination and the viewing angle of an interacting pair of galaxies using convolutional neural networks. CoRR abs/2002.01238 (2020) - 2019
- Jeremy M. Hutson, C. Ruth Le Sueur:
bound and field: Programs for calculating bound states of interacting pairs of atoms and molecules. Comput. Phys. Commun. 241: 1-8 (2019) - Kangxue Yin, Hui Huang, Edmond S. L. Ho, Hao Wang, Taku Komura, Daniel Cohen-Or, Hao Zhang:
A Sampling Approach to Generating Closely Interacting 3D Pose-Pairs from 2D Annotations. IEEE Trans. Vis. Comput. Graph. 25(6): 2217-2227 (2019) - Zhenni Zhao, Xinqi Gong:
Trimer Protein-Protein Complex Interface Interacting Residue Pairs Prediction Using Deep Learning Approach. BCB 2019: 580-585 - 2018
- Wenzhi Mao, Tong Wang, Wenxuan Zhang, Haipeng Gong:
Identification of residue pairing in interacting β-strands from a predicted residue contact map. BMC Bioinform. 19(1): 146:1-146:19 (2018) - Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang:
Predicting protein-protein interactions using high-quality non-interacting pairs. BMC Bioinform. 19-S(19): 105-124 (2018) - Wang Xi, Michael A. Beer:
Local epigenomic state cannot discriminate interacting and non-interacting enhancer-promoter pairs with high accuracy. PLoS Comput. Biol. 14(12) (2018) - 2017
- Xiaowei Song, Xingjian He, Yajun Wang, Yezhong Tang:
Validation of the merged co-variation signal in interacting protein pairs by mirror-dendrogram. Int. J. Data Min. Bioinform. 17(3): 238-254 (2017) - 2016
- Lina Zhang, Chengjin Zhang, Rui Gao, Runtao Yang, Qing Song:
Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes. BMC Bioinform. 17: 225 (2016) - 2012
- Stefanos E. Folias, G. Bard Ermentrout:
Bifurcations of Stationary Solutions in an Interacting Pair of E-I Neural Fields. SIAM J. Appl. Dyn. Syst. 11(3): 895-938 (2012) - 2011
- Dukyong Yoon, Hyosil Kim, Haeyoung Suh-Kim, Rae Woong Park, KiYoung Lee:
Differentially co-expressed interacting protein pairs discriminate samples under distinct stages of HIV type 1 infection. BMC Syst. Biol. 5(S-2): S1 (2011) - Xue-wen Chen, Jong Cheol Jeong, Patrick Dermyer:
KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions. Nucleic Acids Res. 39(Database-Issue): 750-754 (2011) - 2010
- Pawel Smialowski, Philipp Pagel, Philip Wong, Barbara Brauner, Irmtraud Dunger, Gisela Fobo, Goar Frishman, Corinna Montrone, Thomas Rattei, Dmitrij Frishman, Andreas Ruepp:
The Negatome database: a reference set of non-interacting protein pairs. Nucleic Acids Res. 38(Database-Issue): 540-544 (2010) - Witold Dyrka, Jean-Christophe Nebel, Malgorzata Kotulska:
Towards 3D Modeling of Interacting TM Helix Pairs Based on Classification of Helix Pair Sequence. PRIB 2010: 62-73 - 2009
- Jose C. Nacher, Morihiro Hayashida, Tatsuya Akutsu:
Emergence of scale-free distribution in protein-protein interaction networks based on random selection of interacting domain pairs. Biosyst. 95(2): 155-159 (2009) - 2008
- José M. G. Izarzugaza, David de Juan, Carles Pons, Florencio Pazos, Alfonso Valencia:
Enhancing the prediction of protein pairings between interacting families using orthology information. BMC Bioinform. 9 (2008) - Naoshi Fukuhara, Takeshi Kawabata:
HOMCOS: a server to predict interacting protein pairs and interacting sites by homology modeling of complex structures. Nucleic Acids Res. 36(Web-Server-Issue): 185-189 (2008) - Suryani Lukman, Kelvin Sim, Jinyan Li, Yi-Ping Phoebe Chen:
Interacting Amino Acid Preferences of 3D Pattern Pairs at the Binding Sites of Transient and Obligate Protein Complexes. APBC 2008: 69-78 - 2007
- Jisu Kim, Byungkyu Park, Kyungsook Han:
Prediction of Interacting Motif Pairs Using Stochastic Boosting. FBIT 2007: 95-100 - 2006
- Sylvain Pitre, Frank K. H. A. Dehne, Albert Chan, James Cheetham, Alex Duong, Andrew Emili, Marinella Gebbia, Jack Greenblatt, Matthew Jessulat, Nevan J. Krogan, Xuemei Luo, Ashkan Golshani:
PIPE: a protein-protein interaction prediction engine based on the re-occurring short polypeptide sequences between known interacting protein pairs. BMC Bioinform. 7: 365 (2006) - José M. G. Izarzugaza, David de Juan, Carles Pons, Juan A. G. Ranea, Alfonso Valencia, Florencio Pazos:
TSEMA: interactive prediction of protein pairings between interacting families. Nucleic Acids Res. 34(Web-Server-Issue): 315-319 (2006)
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