Imperial College London

ProfessorMichaelSternberg

Faculty of Natural SciencesDepartment of Life Sciences

Director Centre for Bioinformatics
 
 
 
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Contact

 

+44 (0)20 7594 5212m.sternberg Website

 
 
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Location

 

306Sir Ernst Chain BuildingSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

332 results found

STERNBERG MJE, CHICKOS JS, 1994, PROTEIN SIDE-CHAIN CONFORMATIONAL ENTROPY DERIVED FROM FUSION DATA - COMPARISON WITH OTHER EMPIRICAL SCALES, PROTEIN ENGINEERING, Vol: 7, Pages: 149-155, ISSN: 0269-2139

Journal article

SAQI MAS, STERNBERG MJE, 1994, IDENTIFICATION OF SEQUENCE MOTIFS FROM A SET OF PROTEINS WITH RELATED FUNCTION, PROTEIN ENGINEERING, Vol: 7, Pages: 165-171, ISSN: 0269-2139

Journal article

Sternberg MJE, Hirst JD, Lewis RA, King RD, Srinivasan A, Muggleton Set al., 1994, Application of machine learning to protein structure prediction and drug design, ISSN: 0963-3308

The use of inductive-based logic programming (ILP) in predicting protein structure and drug design was discussed in this article. In the study of alpha and beta fields with alternating alpha-helices and beta-sheet strands, ILP program GOLEM was employed. GOLEM was capable of generating an inductive hypothesis based on coded facts and negative counter-example and chemical background knowledge. However, for drug design machine learning program PROLOG was applied. PROLOG can comprehend the properties of bonds and atoms. It can also give insight in the chemical principles of aromatic and heteroaromatic nitro compounds. In conclusion, machine learning ILP programs can greatly enhance biochemical developments.

Conference paper

King RD, Clark DA, Shirazi J, Sternberg MJet al., 1994, Inductive logic programming used to discover topological constraints in protein structures., Proc Int Conf Intell Syst Mol Biol, Vol: 2, Pages: 219-226, ISSN: 1553-0833

This paper describes the application of the Inductive Logic Programming (ILP) program GOLEM to the discovery of constraints in the packing of beta-sheets in alpha/beta proteins. These constraints (rules) have a role in understanding the protein folding problem. Constraints were learnt for four features of beta-sheet packing: the winding direction of two sequential strands, whether two consecutive strands pack parallel or anti-parallel, whether two strands pack adjacently, and whether a beta-strand is at an edge. Investigation of the learnt constraints revealed interesting patterns, some of which were previously known, others that were novel. Novel features include the discovery: that the relationship between pairs of sequential strands is in general one of decreasing size, and that more sequential pairs of strands wind in the direction out than the direction in. We conclude that machine learning has a useful place in molecular biology as a pattern discovery tool.

Journal article

JACKSON RM, STERNBERG MJE, 1993, PROTEIN SURFACE-AREA DEFINED, NATURE, Vol: 366, Pages: 638-638, ISSN: 0028-0836

Journal article

King RD, Hirst JD, Sternberg MJE, 1993, New approaches to QSAR: Neural networks and machine learning, Perspectives in Drug Discovery and Design, Vol: 1, Pages: 279-290, ISSN: 0928-2866

Neural networks and machine learning are two methods that are increasingly being used to model QSARs. They make few statistical assumptions and are nonlinear and nonparametric. We describe back-propagation from the field of neural networks, and GOLEM from machine learning, and illustrate their learning mechanisms using a simple expository problem. Back-propagation and GOLEM are then compared with multiple linear regression (using the parameters and their squares) on two real drug design problems: the inhibition of Escherichia coli dihydrofolate reductase (DHFR) by pyrimidines and the inhibition of rat/mouse tumour DHFR by triazines. © 1993 ESCOM Science Publishers B.V.

Journal article

LOFTS FJ, HURST HC, STERNBERG MJE, GULLICK WJet al., 1993, SPECIFIC SHORT TRANSMEMBRANE SEQUENCES CAN INHIBIT TRANSFORMATION BY THE MUTANT NEU GROWTH-FACTOR RECEPTOR IN-VITRO AND IN-VIVO, ONCOGENE, Vol: 8, Pages: 2813-2820, ISSN: 0950-9232

Journal article

HIRST JD, STERNBERG MJE, 1993, PREDICTION OF ATP-BINDING MOTIFS - A COMPARISON OF A PERCEPTRON-TYPE NEURAL-NETWORK AND A CONSENSUS SEQUENCE METHOD (VOL 4, PG 615, 1991), PROTEIN ENGINEERING, Vol: 6, Pages: 549-554, ISSN: 0269-2139

Journal article

MUGGLETON S, KING RD, STERNBERG MJE, 1993, PROTEIN SECONDARY STRUCTURE PREDICTION USING LOGIC-BASED MACHINE LEARNING, PROTEIN ENGINEERING, Vol: 6, Pages: 549-549, ISSN: 0269-2139

Journal article

PICKETT SD, STERNBERG MJE, 1993, EMPIRICAL SCALE OF SIDE-CHAIN CONFORMATIONAL ENTROPY IN PROTEIN-FOLDING, JOURNAL OF MOLECULAR BIOLOGY, Vol: 231, Pages: 825-839, ISSN: 0022-2836

Journal article

BAUM H, BUTLER P, DAVIES H, STERNBERG MJE, BURROUGHS AKet al., 1993, AUTOIMMUNE-DISEASE AND MOLECULAR MIMICRY - AN HYPOTHESIS, TRENDS IN BIOCHEMICAL SCIENCES, Vol: 18, Pages: 140-144, ISSN: 0968-0004

Journal article

BATES PA, ISLAM SA, STERNBERG MJE, 1993, STRUCTURE OF DEBRISOQUINIUM SULFATE, ACTA CRYSTALLOGRAPHICA SECTION C-CRYSTAL STRUCTURE COMMUNICATIONS, Vol: 49, Pages: 300-303, ISSN: 0108-2701

Journal article

ADZHUBEI AA, STERNBERG MJE, 1993, LEFT-HANDED POLYPROLINE-II HELICES COMMONLY OCCUR IN GLOBULAR-PROTEINS, JOURNAL OF MOLECULAR BIOLOGY, Vol: 229, Pages: 472-493, ISSN: 0022-2836

Journal article

Sternberg MJE, 1993, Corrigendum: Protein secondary structure prediction using logic-based machine learning (Protein Engineering (1993) 5 (647-657)), Protein Engineering, Vol: 6, ISSN: 0269-2139

Journal article

Hirst JD, Sternberg MJE, 1993, Corrigendum: Prediction of ATP/GTP-bindmg motifs: A comparison of a perceptron type neural network and a consensus sequence method (Protein Engineering (1993) 4 (615-623)), Protein Engineering, Vol: 6, ISSN: 0269-2139

Journal article

King RD, Srinivasan A, Muggleton S, Feng C, Lewis RA, Sternberg MJEet al., 1993, Drug design using inductive logic programming, Pages: 646-655, ISSN: 1530-1605

© 1993 IEEE. Determining the quantitative structure-activity relationship (QSAR) of a related series of drugs is a central aspect of the drug design process. The machine learning program Golem from the field of inductive logic programming (ILP) applied to QSAR. ILP is the most suitable machine learning technique because it can represent the structural and relational aspects of drugs. A five-step methodology for using machine learning in drug design is presented that consists of identification of the problem, choice of a representation, induction, interpretation of results, and synthesis of new drugs.

Conference paper

HIRST JD, STERNBERG MJE, 1993, QUANTITATIVE STRUCTURE-ACTIVITY-RELATIONSHIPS OF DIHYDROFOLATE-REDUCTASE INHIBITORS BY NEURAL NETWORKS, PROTEIN ENGINEERING, Vol: 6, Pages: 107-107, ISSN: 0269-2139

Journal article

ADZHUBEI AA, STERNBERG MJE, 1993, LEFT-HANDED POLYPROLINE-II HELICES AS AN ELEMENT IN PROTEIN-STRUCTURE PREDICTION, PROTEIN ENGINEERING, Vol: 6, Pages: 125-125, ISSN: 0269-2139

Journal article

KING RD, MUGGLETON S, LEWIS RA, STERNBERG MJEet al., 1992, DRUG DESIGN BY MACHINE LEARNING - THE USE OF INDUCTIVE LOGIC PROGRAMMING TO MODEL THE STRUCTURE-ACTIVITY-RELATIONSHIPS OF TRIMETHOPRIM ANALOGS BINDING TO DIHYDROFOLATE-REDUCTASE, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol: 89, Pages: 11322-11326, ISSN: 0027-8424

Journal article

PICKETT SD, SAQI MAS, STERNBERG MJE, 1992, EVALUATION OF THE SEQUENCE TEMPLATE METHOD FOR PROTEIN-STRUCTURE PREDICTION - DISCRIMINATION OF THE (BETA/ALPHA)8-BARREL FOLD, JOURNAL OF MOLECULAR BIOLOGY, Vol: 228, Pages: 170-187, ISSN: 0022-2836

Journal article

WALLS PH, STERNBERG MJE, 1992, NEW ALGORITHM TO MODEL PROTEIN PROTEIN RECOGNITION BASED ON SURFACE COMPLEMENTARITY - APPLICATIONS TO ANTIBODY ANTIGEN DOCKING, JOURNAL OF MOLECULAR BIOLOGY, Vol: 228, Pages: 277-297, ISSN: 0022-2836

Journal article

MUGGLETON S, KING RD, STERNBERG MJE, 1992, PROTEIN SECONDARY STRUCTURE PREDICTION USING LOGIC-BASED MACHINE LEARNING, PROTEIN ENGINEERING, Vol: 5, Pages: 647-657, ISSN: 0269-2139

Journal article

HIRST JD, STERNBERG MJE, 1992, PREDICTION OF STRUCTURAL AND FUNCTIONAL FEATURES OF PROTEIN AND NUCLEIC-ACID SEQUENCES BY ARTIFICIAL NEURAL NETWORKS, BIOCHEMISTRY, Vol: 31, Pages: 7211-7218, ISSN: 0006-2960

Journal article

BURROUGHS AK, BUTLER P, STERNBERG MJE, BAUM Het al., 1992, MOLECULAR MIMICRY IN LIVER-DISEASE, NATURE, Vol: 358, Pages: 377-378, ISSN: 0028-0836

Journal article

SAQI MAS, BATES PA, STERNBERG MJE, 1992, TOWARDS AN AUTOMATIC METHOD OF PREDICTING PROTEIN-STRUCTURE BY HOMOLOGY - AN EVALUATION OF SUBOPTIMAL SEQUENCE ALIGNMENTS, PROTEIN ENGINEERING, Vol: 5, Pages: 305-311, ISSN: 0269-2139

Journal article

BATES PA, LUO JC, STERNBERG MJE, 1992, A PREDICTED 3-DIMENSIONAL STRUCTURE FOR THE CARCINOEMBRYONIC ANTIGEN (CEA), FEBS LETTERS, Vol: 301, Pages: 207-214, ISSN: 1873-3468

Journal article

BERENDT AR, MCDOWALL A, CRAIG AG, BATES PA, STERNBERG MJE, MARSH K, NEWBOLD CI, HOGG Net al., 1992, THE BINDING-SITE ON ICAM-1 FOR PLASMODIUM-FALCIPARUM INFECTED ERYTHROCYTES OVERLAPS, BUT IS DISTINCT FROM, THE LFA-1-BINDING SITE, CELL, Vol: 68, Pages: 71-81, ISSN: 0092-8674

Journal article

STERNBERG MJE, LEWIS RA, KING RD, MUGGLETON Set al., 1992, MODELING THE STRUCTURE AND FUNCTION OF ENZYMES BY MACHINE LEARNING, FARADAY DISCUSSIONS, Vol: 93, Pages: 269-280, ISSN: 1359-6640

Journal article

GULLICK WJ, BOTTOMLEY AC, LOFTS FJ, DOAK DG, MULVEY D, NEWMAN R, CRUMPTON MJ, STERNBERG MJE, CAMPBELL IDet al., 1992, 3-DIMENSIONAL STRUCTURE OF THE TRANSMEMBRANE REGION OF THE PROTOONCOGENIC AND ONCOGENIC FORMS OF THE NEU PROTEIN, EMBO JOURNAL, Vol: 11, Pages: 43-48, ISSN: 0261-4189

Journal article

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