Predicting Future Research Trends with Chilibot

After the query session is finished, the user can request Chilibot to suggest hypothetical relationships for any node that is within the retrieved network. For each node requested (NR) by the user, Chilibot scans the retrieved network to find those nodes that are not directly linked to NR, but have connections to the same tertiary nodes as NR. Chilibot then produces a new network map for each of these "hypothetical relationships", while maintaining the links to the supporting documentation. To test the usefulness of these "hypothetical relationships" in predicting future research, a total of 22 terms (ACTIN, ACTININ, AMPA, ARC, ATF, CAMKII, CAMKIV, CREB, ERK, KV4.2, NMDA, PI-3K, PKA, PKC, PLC, SYNAPSIN I, SYNAPTOPHYSIN, SYNAPTOTAGMIN, TAU, TRKA, TRKB, AND ZIF268) were queried together with LTP (long-term potentiation). Retrospective studies were performed by querying these terms again while adding the PubMed date limiting tag "&mindate=1960&maxdate=$maxdate", where the $maxdate equals to 1990, 1995, 2000, respectively.

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Chen H, & Sharp B.M. (2004). Content-rich biological network constructed by mining PubMed abstracts. BMC Bioinformatics, 5, 147.

Publication 2004

Actin Actinin Ampa Camkii Long term potentiation Nmda Pi 3k Scans Synapsin i Synaptophysin Synaptotagmin Trkb

Corresponding Organization :

Other organizations : University of Tennessee Health Science Center

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Protocol cited in 12 other protocols

Variable analysis

independent variables

Query terms (ACTIN, ACTININ, AMPA, ARC, ATF, CAMKII, CAMKIV, CREB, ERK, KV4.2, NMDA, PI-3K, PKA, PKC, PLC, SYNAPSIN I, SYNAPTOPHYSIN, SYNAPTOTAGMIN, TAU, TRKA, TRKB, AND ZIF268)
Time periods (1960-1990, 1960-1995, 1960-2000)

dependent variables

Identifying hypothetical relationships between nodes in the retrieved network
Predicting future research based on the usefulness of the hypothetical relationships

control variables

Querying the terms together with LTP (long-term potentiation)

Annotations

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