| Record ID | marc_columbia/Columbia-extract-20221130-007.mrc:221894365:3602 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-007.mrc:221894365:3602?format=raw |
LEADER: 03602mam a2200469 a 4500
001 3190939
005 20221020004759.0
008 930518s2000 caua sb 001 0 eng d
020 $a0262581159
035 $a(OCoLC)77932373
035 $a(OCoLC)ocm77932373
035 $9AUF0240CU
035 $a(NNC)3190939
035 $a3190939
040 $aNNC$cNNC$dOrLoB-B
050 4 $aQH506$b.A78 1993
245 00 $aArtificial intelligence and molecular biology /$cedited by Lawrence Hunter.
250 $aElectronic edition.
256 $aComputer data.
260 $aMenlo Park, Calif. :$bAAAI Press ;$aCambridge, Mass. :$bMIT Press [distributor],$c[2000?]
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
490 1 $aAAAI member's library
516 $aText.
500 $aTitle from title screen (last viewed Feb. 28, 2002)
538 $aMode of access: Internet World Wide Web.
504 $aIncludes bibliographical references and index.
534 $pTranscribed from:$tArtificial intelligence and molecular biology / edited by Lawrence Hunter.$cMenlo Park, Calif. : AAAI Press, 1993.$ex, 470 p. : ill. 23 cm.
505 00 $tForeword /$rJoshua Lederberg --$g1.$tMolecular Biology for Computer Scientists /$rLawrence Hunter --$g2.$tThe Computational Linguistics of Biological Sequences /$rDavid B. Searls --$g3.$tNeural Networks, Adaptive Optimization, and RNA Secondary Structure Prediction /$rEvan W. Steeg --$g4.$tPredicting Protein Structural Features With Artificial Neural Networks /$rStephen R. Holbrook, Steven M. Muskal and Sung-Hou Kim --$g5.$tDeveloping Hierarchical Representations for Protein Structures: An Incremental Approach /$rXiru Zhang and David Waltz --$g6.$tIntegrating AI with Sequence Analysis /$rRichard H. Lathrop, Teresa A. Webster, Randall F. Smith, Patrick H. Winston and Temple F. Smith --$g7.$tPlanning to Learn about Protein Structure /$rLawrence Hunter --$g8.$tA Qualitative Biochemistry and its Application to the Regulation of the Tryptophan Operon /$rPeter D. Karp --$g9.$tIdentification of Qualitatively Feasible Metabolic Pathways /$rMichael L. Mavrovouniotis --
505 80 $g10.$tKnowledge-Based Simulation of DNA Metabolism: Prediction of Action and Envisionment of Pathways /$rAdam R. Galper, Douglas L. Brutlag and David H. Millis --$g11.$tAn AI Approach to the Interpretation of the NMR Spectra of Proteins /$rPeter Edwards, Derek Sleeman, Gordon C.K. Roberts and Lu Yun Lian --$g12.$tMolecular Scene Analysis: Crystal Structure Determination Through Imagery /$rJanice I. Glasgow, Suzanne Fortier and Frank H. Allen --$tAfterword: The Anti-Expert System - Thirteen Hypotheses an AI Program Should Have Seen Through /$rJoshua Lederberg.
650 0 $aMolecular biology$xResearch.$0http://id.loc.gov/authorities/subjects/sh85086578
650 0 $aArtificial intelligence.$0http://id.loc.gov/authorities/subjects/sh85008180
650 0 $aArtificial intelligence$xMedical applications.$0http://id.loc.gov/authorities/subjects/sh88003000
650 0 $aNeural networks (Computer science)$0http://id.loc.gov/authorities/subjects/sh90001937
650 2 $aArtificial Intelligence.$0https://id.nlm.nih.gov/mesh/D001185
650 2 $aMolecular Biology$xmethods.$0https://id.nlm.nih.gov/mesh/D008967Q000379
650 2 $aMolecular Structure.$0https://id.nlm.nih.gov/mesh/D015394
655 0 $aElectronic books.
700 1 $aHunter, Lawrence.
830 0 $aAAAI member's library.$0http://id.loc.gov/authorities/names/no2002044439
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?AUF0240
852 80 $blweb$hEBOOKS