Volume 71 (2014) number 1

Mathematical Chemistry

• S. A. Hosseini, M. B. Ahmadi, I. Gutman: Kragujevac Trees with Minimal Atom-Bond Connectivity Index, pp. 5-20
• M. Rostami, M. Sohrabi-Haghighat: Further Results on New Version of Atom-Bond Connectivity Index, pp. 21-32
• M. Goubko: Minimizing Degree-Based Topological Indices for Trees with Given Number of Pendent Vertices, pp. 33-46
• V. E. Pastor, P. L. Dammig Quina, L. M. Salvatierra, I. M. Irurzun, E. E. Mola: Average Deactivation Time of the Heterogeneous Reaction 2A + B ₂->2AB, pp. 47-56
• P. Kim, C. H. Lee: Fast Probability Generating Function Method for Stochastic Chemical Reaction Networks, pp. 57-69
• J. Rudan, G. Szederkenyi, K. M. Hangos: Efficient Computation of Alternative Structures for Large Kinetic Systems Using Linear Programming, pp. 71-92
• P. W. Fowler, W. Myrvold: Most Fullerenes Have no Centrosymmetric Labelling, pp. 93-97
• R. Yang, H. Zhang: Every Extremal Fullerene Graph with no Less than 60 Vertices is 2-Resonant, pp. 99-114

Chemometrics

• R. Bruggemann, P. Annoni: Average Heights in Partially Ordered Sets, pp. 117-142
• L. Pogliani, J. V. de Julian-Ortiz, E. Besalu: The Titius-Bode Relationship and the Lability of QSAR/QSPR Models, pp. 143-148
• S. D. Bolboaca, D. D. Rosca, L. Jantschi: Structure-Activity Relationships from Natural Evolution, pp. 149-172

Mathematical Biochemistry

• W. X. Wang, X. W. Li, W. Y. Qiu: Topological Construction and Characteristics of Polyhedral Links, pp. 175-184
• Z. Zheng, J. W. Duan, W. Y. Qiu: Blueprints of DNA Origami Links Constructed with Hamilton Circles, pp. 185-198
• G. Fijavz, T. Pisanski, J. Rus: Strong Traces Model of Self-Assembly Polypeptide Structures, pp. 199-212
• Z. Li, C. Geng, P. He, Y. Yao: A Novel Method of 3D Graphical Representation and Similarity Analysis for Proteins, pp. 213-226
• C. Jia, Y. Zhang, Z. Wang: SulfoTyrP: A High Accuracy Predictor of Protein Sulfotyrosine Sites, pp. 227-240
• A. T. M. Golam Bari, M. Rokeya Reaz, B. S. Jeong: Effective DNA Encoding for Splice Site Prediction Using SVM, pp. 241-258