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L. H. Hartwell, J. J. Hopfield, S. Leibler, and Murray A. W. From molecular to modular cell biology. Nature, 2, Dec 1999.

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Spikes That Count: Rethinking Spikiness In Neurally.. - Saggie, Keinan, Ruppin   (Correct)

....neural networks are developed by a genetic algorithm [9] to maximize a behavioral performance measure, and their resulting networks and dynamics are subjected to further study. EAAs are a very promising model for studying neural processing due to their simplicity, and their emergent architecture [5, 11]. Investigating spiky neural networks in this framework raises new ques tions, that were not raised using pre designed spiky models. For Example, evolutionary robotics studies have previously analyzed whether the spiking dynamics result in a time dependent or a rate dependent computation, and ....

L.H. Hartwell, J.J Hopfield, S. Lciblcr, and A.W. Murray. From molecular to modular cell biology. Nature, 402(6761):C47C52, 1999.


The Immune System as a Reactive System: Modeling T Cell.. - Kam, Cohen, Harel (2001)   (2 citations)  (Correct)

....requirements (based on the immunological data presented in previous sections) we executed the model using the Rhapsody tool. Due to space limitations, we omitted this section from this version of the paper; this section will be included in a more comprehensive version, which is in preparation. 5. 2 Unexpected Behavior By and large, the behavior we encountered in the executions of the model followed our expectations, except for one case: we found that the Thelpercell object could not reach a steady Memory state. The moment a T cell took the transition from Active to Memory, it returned ....

....encountered in the executions of the model followed our expectations, except for one case: we found that the Thelpercell object could not reach a steady Memory state. The moment a T cell took the transition from Active to Memory, it returned right back to the Active state. This happened becanse IL 2 molecules were still in the system, while the Thelpercells, being in their Active state, expressed their IL2R component objects. As shown in Fig. 2, the event of IL 2 binding by the 11 2 receptor triggers the transition from the nonActive super state to the Active state. Only after an extensive ....

[Article contains additional citation context not shown here]

Hartwell, L. H., Hopfield, J. J., Leler, S., and Murray, A. W., "From molecular to modular cell biology", Nature, 1999, 402: C47-52.


Modeling Biological Reactivity: Statecharts vs. Boolean Logic - Kam, Harel., Cohen (2002)   (1 citation)  (Correct)

.... agreement among researchers that biological research must prepare for the transition from analysis (the reduction of observations to elemental building blocks) to synthesis (the integration of the parts into a whole) 1] and that this transition should rely heavily on the language of mathematics [2 4]. This is particularly needed in the field of imm]mology. Over the last several decades there has been an explosion of experimental data describing the cellular and molecular components that are involved in the activity of the iramime system. At the present lime, however, there is an emerging ....

....it will receive the value 0. Similarly, the function X=k implies that the future value of the variable x is determined by the current value of the variable k. The following logical functions were defined for the model (x denotes NOT x, z. y denotes z AND y, and z y denotes z OR y) 1] B = 0 [2] K = b k. 3] X=k [4] S = b. State table: F quations 14 make it possible to compute a state table Table 1) 2 that provides the values of the logical functions (right half of the table) for each of the 24 possible combinations of the state variables (let half of the table) For example, at ....

Hartwell, L. H., Hopfield, J. J., Leibler, S., and Murray, A. W., From molecular to modular cell biology, Nature, 1999, 402:C47-52


Hybrid Modeling and Simulation of Biomolecular Networks - Alur, Belta, Ivanicic..   (11 citations)  (Correct)

....factors and allosteric effectors. The availability of complete genomic information for a wide variety of organisms and the consequent attention on proteomics has dramatically increased the number of systems and components of systems that are involved in these sensing and responding activities [4, 10]. Understanding how This research was supported in part by DARPA ITO Mobies project (grant number F33615 00 C 1707) and NSF grant CDS 97 03220. these biological systems are integrated and regulated and how the regulation may be influenced, possibly for therapeutic purposes, remains a significant ....

L.H. Hartwell, J.J. Hopfield, S. Leibler, and A.W. Murray. From molecular to modular cell biology. Nature, 402((6761 Suppl)):C47-52, December 1999.


Emergence of Genetic Code and Cell - Infrastructure Iv Bykoski   (Correct)

....into the model making it more realistic. In particular, cell description at the functional expression level is important since a recent microarray technology generates extensive protein expression data. Following this trend, cell description at the level higher than macromolecules such as modules [5] and hyperstructures [6] has been proposed. Modules are made up of many species of interacting molecules and carry out a specific cellular function, say, signal transmission. Hyperstructures may include assemblies of genes, mRNA, enzymes and lipids brought together to fulfil a particular function ....

Hartwell, L.H.; Hopfield, J.J.; Leibler, S.; Murray, A.W. 1999. From molecular to modular cell biology, Nature 402(n6761 Suppl):C47-52.


The Immune System as a Reactive System: Modeling T Cell - Activation With Statecharts (2001)   (Correct)

.... There is broad agreement among researchers that biological research must prepare for the transition from analysis (the reduction of observations to elemental building blocks) to synthesis (the integration of the parts into a whole) 1] and that this transition requires the language of mathematics [2 5]. This is particularly needed in the field of immunology. Over the last several decades there has been an explosion of experimental data describing the cellular and molecular components that comprise the immune system. At the present time, however, there is an emerging need to understand the ....

Hartwell, L. H., Hopfield, J. J., Leibler, S., and Murray, A. W., "From molecular to modular cell biology", Nature, 1999, 402: C47-52.


Hybrid Modeling and Simulation of Biomolecular Networks - Alur, Belta, Ivancic.. (2001)   (11 citations)  (Correct)

....factors and allosteric e#ectors. The availability of complete genomic information for a wide variety of organisms and the consequent attention on proteomics has dramatically increased the number of systems and components of systems that are involved in these sensing and responding activities [4,10]. Understanding how This research was supported in part by DARPA ITO Mobies project (grant number F33615 00 C 1707) and NSF grant CDS 97 03220. M.D. Di Benedetto, A. Sangiovanni Vincentelli (Eds. HSCC 2001, LNCS 2034, pp. 19 32, 2001. Springer Verlag Berlin Heidelberg 2001 20 R. Alur et ....

L.H. Hartwell, J.J. Hopfield, S. Leibler, and A.W. Murray. From molecular to modular cell biology. Nature, 402((6761 Suppl)):C47--52, December 1999.


Hybrid Modeling and Simulation of Biomolecular Networks - Alur, Belta, Ivancic.. (2001)   (11 citations)  (Correct)

....factors and allosteric effectors. The availability of complete genomic information for a wide variety of organisms and the consequent attention on proteomics has dramatically increased the number of systems and components of systems that are involved in these sensing and responding activities [4, 10]. Understanding how these biological systems are integrated and regulated and how the regulation may be influenced, possibly for therapeutic purposes, remains a significant challenge. In this paper we model and simulate examples of genetic and metabolic networks using a hybrid systems approach ....

L.H. Hartwell, J.J. Hopfield, S. Leibler, and A.W. Murray. From molecular to modular cell biology. Nature, 402((6761 Suppl)):C47--52, December 1999.


New Issues in the Mathematics of Control - Brockett (2001)   (1 citation)  (Correct)

....explainable in terms of known scientific principles. The second and third, however suggest that the kind of reductionism that helped to bring science to its present state will not necessarily be enough to enable human understanding of these fields. In the context of cell biology Hartwell et al.[35] have argued that progress will be more rapid and understanding more useful if researchers think in terms of functional units with inputs and outputs, each very much less complex than an entire cell but each more encompassing than a few related biochemical processes. This point of view involving ....

L. Hartwell, J. Hopfield, S. Leibler, and A. Murphy, "From Molecular to Modular cell Biology," Nature, vol 402, (Supplement) Dec. 1999.


Journal of Machine Learning Research 7 (2006).. - Parsimonious..   (Correct)

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L. H. Hartwell, J. J. Hopfield, S. Leibler, and Murray A. W. From molecular to modular cell biology. Nature, 2, Dec 1999.


Predicting Protein-Protein Interactions from.. - Huang, Kanaan.. (2004)   (Correct)

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Hartwell, L. H., Hopfield, J. J., Leibler, S. & Murray, A. W. (1999) From molecular to modular cell biology. Nature, 402, C47--C52.


e now know tha aT'9MOMTN99 30,000 to 40,000 genes effectively - Controlan Regulat The   (Correct)

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L.H. Hartwell et al., "From Molecular to Modular Cell Biology," Nature, vol. 402, no. 6761, Dec. 1999, pp. C47--52.


Selection, Tinkering, and Emergence in Complex.. - Sole.. (2003)   (Correct)

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Hartwell, L.H.; Hopfield, J.J.; Leibler, S.; Murray, A.W. From molecular to modular cell biology. Nature 1999, 42 supp, c47--252.


Modeling Gene Expression From Microarray Expression - Data With State-Space   (Correct)

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Hartwell, L. H., et al. "From molecular to modular cell biology" Nature 402: C47 -- 52, (1999).


Some New Directions in Control Theory Inspired by Systems Biology - Sontag (2004)   (Correct)

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L.H. Hartwell, Hopfield, J.J., Leibler, S. and Murray, A.W.: `From molecular to modular cell biology', Nature, 1999, 402, pp. C47-C52.


Modularity "for Free" in Genome Architecture? - Sole, Fernandez   (Correct)

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L.H. Hartwell, J.J. Hopfield, S. Leibler, and A.W. Murray. From molecular to modular cell biology. Nature, 402:C47--C52, 1999.


Modelling Gene Regulatory Networks: Systems Biology to Complex.. - Geard (2004)   (Correct)

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L. H. Hartwell, J. J. Hopfield, S. Leibler, and A. W. Murray. From molecular to modular cell biology. Nature, 402:C47--C52, 1999.


Finding Optimal Gene Networks Using Biological Constraints - Ott, Miyano (2003)   (Correct)

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Hartwell, L.H., Hopfield, J.J., Leibler, S., and Murray, A.W., From molecular to modular cell biology, Nature, 402:C47--C52, 1999.


Complex Networks in Genomics and Proteomics - Sole, Pastor-Satorras (2002)   (1 citation)  (Correct)

No context found.

L. H. Hartwell, J. J. Hopeld, S. Leibler, and A. W. Murray. From molecular to modular cell biology. Nature 402, C47--C52 (1999).


Monotone Control Systems - Angeli, Sontag (2003)   (Correct)

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L. H. Hartwell, J. J. Hopfield, S. Leibler, and A. W. Murray, "From molecular to modular cell biology," Nature, vol. 402, pp. C47--C52, 1999.


Interconnections of Monotone Systems with Steady-State.. - Angeli, Sontag (2004)   (Correct)

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Hartwell L, Hopfield J, Leibler S, Murray A (1999) From molecular to modular cell biology, Nature 402(suppl.):C47-C52


MGV: A System for Visualizing Massive Multi-Digraphs - Abello, Korn (2002)   (4 citations)  (Correct)

No context found.

L. Hartwell, J. Hopfield, S. Leibler, A. Murray. From molecular to modular cell biology. In Nature, Vol. 402, pages C47-C52, 1999.


Multiscale Modeling of Alternative Splicing Regulation - Eveillard, Ropers, de.. (2003)   (1 citation)  (Correct)

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Hartwell, L.H., Hopeld, J.J., Leibler, S., Murray, A.W.: From molecular to modular cell biology. Nature 402 (1999) C47C52


A Sense of Life - Mishra, Raoul-SamDaruwala, Zhou..   (Correct)

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L. Hartwell, J.J. Hopfield, S. Leibler, and A.W. Murray. "From molecular to modular cell biology," Nature, 402(supp): C47--C52, 1999.


Monotone Control Systems - Angeli, Sontag (2002)   (Correct)

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L.H. Hartwell, J.J. Hop eld, S. Leibler, A.W. Murray, \From molecular to modular cell biology," Nature 402(suppl.): C47C52, 1999.


Tuberculosis,a' Numerous Other Sequencing Projects .. - Theselasetiem..   (Correct)

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L.H. Hartwell et al., "From Molecular to Modular Cell Biology," Nature, vol. 402, no. 6761, Dec. 1999, pp. C47--52.


Evolutionary Lock-in and the Origin of Modularity in RNA.. - Ancel, Fontana   (Correct)

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Hartwell, L. H., Hopeld, J. J., Leibler, S., & Murray, A. W. From molecular to modular cell biology. Nature 402, C47{C52 (1999).


The Large-Scale Organization of Metabolic Networks - Jeong, Tombor, Albert.. (2000)   (36 citations)  (Correct)

No context found.

Hartwell, L.H., Hopfield, J.J., Leibler, S. & Murray, A.W. From molecular to modular cell biology. Nature 402, C47-52 (1999).

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