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Buzano C, Pelizzola A, Pretti M. Herringbone ordering and lattice distortions in a planar-molecule model for Langmuir monolayers. PHYSICAL REVIEW E. 2000;62:5230-41.
Pelizzola A, Pretti M, Scalas E. Heterochirality in Langmuir monolayers and antiferromagnetic Blume-Emery-Griffiths model. JOURNAL OF CHEMICAL PHYSICS. 2000;112:8126-36.
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Doss GP, Sudandiradoss C, Rajasekaran R, Purohit R, Ramanathan K, Sethumadhavan R. Identification and structural comparison of deleterious mutations in nsSNPs of ABL1 gene in chronic myeloid leukemia: A bio-informatics study. Journal of Biomedical Informatics. 2008;41:607-12.
Lage-Castellanos A, Pagnani A, Weigt M. The importance of dilution in the inference of biological networks. In: Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual Allerton Conference on. IEEE; 2010. p. 531-8.
Rajendran V, Purohit R, Sethumadhavan R. In silico investigation of molecular mechanism of laminopathy caused by a point mutation (R482W) in lamin A/C protein. Amino Acids. 2012;43:603-15.
Kumar A, Rajendran V, Sethumadhavan R, Purohit R. In silico prediction of a disease-associated STIL mutant and its affect on the recruitment of centromere protein J (CENPJ). FEBS Open Bio. 2012;2:285-93.
Kamaraj B, Purohit R. In silico screening and molecular dynamics simulation of disease-associated nsSNP in TYRP1 gene and its structural consequences in OCA3. Biomed Res Int. 2013;2013:697051. Abstract
kamraj B, Purohit R. In-silico analysis of Betaine Aldehyde Dehydrogenase2 of Oryza sativa and significant mutations responsible for fragrance. Journal of Plant Interactions. 2012.
Braunstein A, Pagnani A, Weigt M, Zecchina R. Inference algorithms for gene networks: a statistical mechanics analysis. Journal of Statistical Mechanics: Theory and Experiment. 2008;2008:P12001 (29pp). Abstract
Braunstein A, Ramezanpour A, Zecchina R, Zhang P. Inference and learning in sparse systems with multiple states. Phys. Rev. E. 2011;83:056114.
Alemi-Neissi A, Baldassi C, Braunstein A, Pagnani A, Zecchina R, Zoccolan D. Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition. BMC Neuroscience. 2012;13:1-2.
Kumar A, Rajendran V, Sethumadhavan R, Purohit R. Insight into Nek2A activity regulation and its pharmacological prospects. Egyptian Journal of Medical Human Genetics. 2012:-.
Ala U, Karreth FA, Bosia C, Pagnani A, Taulli R, Léopold V, et al. Integrated transcriptional and competitive endogenous RNA networks are cross-regulated in permissive molecular environments . Proceedings of the National Academy of Sciences of the United States of America. 2013;110(18).
Allione A, Guarrera S, Russo A, Ricceri F, Purohit R, Pagnani A, et al. Inter-individual variation in nucleotide excision repair pathway is modulated by non-synonymous polymorphisms in ERCC4 and MBD4 genes. Mutat Res. 2013. Abstract
Zamparo M, Stramaglia S, Banavar JR, Maritan A. Inverse problem for multivariate time series using dynamical latent variables. Physica A: Statistical Mechanics and its Applications. 2012;391:3159-69.
Mashaghi AR, Ramezanpour A, Karimipour V. Investigation of a protein complex network. The European Physical Journal B-Condensed Matter and Complex Systems. 2004;41:113-21.
K. B, Rajendran V, Sethumadhavan R, Purohit R. Investigation of Binding Phenomenon of NSP3 and p130Cas Mutants and Their Effect on Cell Signalling. Cell Biochemistry and Biophysics. 2013:1-11.
Sudandiradoss C, Doss GP, Rajasekaran R, Ramanathan K, Purohit R, Sethumadhavan R. Investigations on the interactions of scorpion neurotoxins with the predicted structure of D1 dopamine receptor by protein–protein docking method. A bioinformatics approach. Comptes Rendus Biologies. 2008;331:489-99.
Imparato A, Pelizzola A, Zamparo M. Ising-Like Model for Protein Mechanical Unfolding. Phys. Rev. Lett.. 2007;98:148102.
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Zamparo M, Pelizzola A. Kinetics of the Wako-Saitô-Muñoz-Eaton Model of Protein Folding. Phys. Rev. Lett.. 2006;97:068106.
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Altarelli F, Braunstein A, Dall'Asta L, Zecchina R. Large deviations of cascade processes on graphs. Phys. Rev. E. 2013;87:062115.
Bruscolini P, Buzano C, Pelizzola A, Pretti M. Lattice model for polymer hydration: Collapse of poly(N-isopropylacrylamide). MACROMOLECULAR SYMPOSIA. 2002;181:261-73.
Braunstein A, Zecchina R. Learning by message-passing in networks of discrete synapses. Phys. Rev. Lett.. 2006;96:030201. Download: prl-synapses.pdf (233.04 KB)
Baldassi C, Ingrosso A, Lucibello C, Saglietti L, Zecchina R. Local entropy as a measure for sampling solutions in constraint satisfaction problems. Journal of Statistical Mechanics: Theory and Experiment. 2016;2016:023301. Abstract
Buzano C, Pelizzola A. LOW-TEMPERATURE EXPANSION FOR A 1ST-ORDER SURFACE TRANSITION. JOURNAL OF PHYSICS-CONDENSED MATTER. 1993;5:7319-23.