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Computational Biology and Chemistry, Volume 58
Volume 58, October 2015
- Gabriela Prado Paludo, Karina Rodrigues Lorenzatto, Diego Bonatto, Henrique Bunselmeyer Ferreira:
Systems biology approach reveals possible evolutionarily conserved moonlighting functions for enolase. 1-8 - Mojtaba Tousheh, Fatemeh Zahra Darvishi, Mehran Miroliaei:
A novel biological role for nsLTP2 from Oriza sativa: Potential incorporation with anticancer agents, nucleosides and their analogues. 9-18 - David Thomas, Chris Finan, Melanie J. Newport, Susan Jones:
DNA entropy reveals a significant difference in complexity between housekeeping and tissue specific gene promoters. 19-24 - Krishnaraj Thirugnanasambantham, Subramanian Saravanan, Kulandaivelu Karikalan, Rajaraman Bharanidharan, Perumal Lalitha, S. Ilango, Villianur Ibrahim HairulIslam:
Identification of evolutionarily conserved Momordica charantia microRNAs using computational approach and its utility in phylogeny analysis. 25-39 - Clifford W. Fong:
Binding energies of tyrosine kinase inhibitors: Error assessment of computational methods for imatinib and nilotinib binding. 40-54 - Teresa Milano, Roberto Contestabile, Alessandra Lo Presti, Massimo Ciccozzi, Stefano Pascarella:
The aspartate aminotransferase-like domain of Firmicutes MocR transcriptional regulators. 55-61 - Che-Lun Hung, Yu-Shiang Lin, Chun-Yuan Lin, Yeh-Ching Chung, Yi-Fang Chung:
CUDA ClustalW: An efficient parallel algorithm for progressive multiple sequence alignment on Multi-GPUs. 62-68 - Jingping Qin, Xiaoxia Ma, Zhonghai Tang, Yijun Meng:
Construction of regulatory networks mediated by small RNAs responsive to abiotic stresses in rice (Oryza sativa). 69-80 - Ibrahim Koc, Ertugrul Filiz, Huseyin Tombuloglu:
Comparative analysis of plant lycopene cyclases. 81-92 - Ernesto Pérez-Rueda, Silvia Tenorio-Salgado, Alejandro Huerta-Saquero, Yalbi I. Balderas-Martínez, Gabriel Moreno-Hagelsieb:
The functional landscape bound to the transcription factors of Escherichia coli K-12. 93-103 - Mary Ellenbecker, Jeremy St. Goddard, Alec Sundet, Jean-Marc Lanchy, Douglas Raiford, J. Stephen Lodmell:
Computational prediction and biochemical characterization of novel RNA aptamers to Rift Valley fever virus nucleocapsid protein. 120-125 - Utku Deniz, Kutlu Ö. Ülgen, Elif Özkirimli Ölmez:
Identification of potential Tpx inhibitors against pathogen-host interactions. 126-138 - Duc-Hau Le:
Network-based ranking methods for prediction of novel disease associated microRNAs. 139-148 - Ertugrul Filiz, Ibrahim Ilker Ozyigit, Recep Vatansever:
Genome-wide identification of galactinol synthase (GolS) genes in Solanum lycopersicum and Brachypodium distachyon. 149-157 - Sobia Ahsan Halim, Muhammad Jawad, Muhammad Ilyas, Zulfiqar Mir, Atif Anwar Mirza, Tayyab Husnain:
In silico identification of novel IL-1β inhibitors to target protein-protein interfaces. 158-166 - Ernesto Pérez-Rueda, J. Antonio Ibarra:
Distribution of putative xenogeneic silencers in prokaryote genomes. 167-172 - Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang, Dan Song:
MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm. 173-181 - Xiao-Yan Guo, Run-Peng Qi, De-Gang Xu, Xu-Hua Liu, Xiao Yang:
Structural and energetic insight into the interactions between the benzolactam inhibitors and tumor marker HSP90α. 182-191 - Mee Song, Euna Jeong, Tae-Kyu Lee, Yury Tsoy, Yong-Jun Kwon, Sukjoon Yoon:
Analysis of image-based phenotypic parameters for high throughput gene perturbation assays. 192-198 - Tamanna, Jayashree Ramana:
MATEPRED-A-SVM-Based Prediction Method for Multidrug And Toxin Extrusion (MATE) Proteins. 199-204 - Arvind Kumar Tiwari, Rajeev Srivastava:
An efficient approach for the prediction of ion channels and their subfamilies. 205-221 - Anitha Selvan, Sharmila Anishetty:
Cavities create a potential back door in epoxide hydrolase Rv1938 from Mycobacterium tuberculosis - A molecular dynamics simulation study. 222-230 - Amir lakizadeh, Saeed Jalili, Sayed-Amir Marashi:
CAMWI: Detecting protein complexes using weighted clustering coefficient and weighted density. 231-240
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