Machine learning for drug discovery / (Record no. 82146)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02824nam a2200445 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9780841299238 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DACS |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230516163026.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 100319s2022 dcua ob 101 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780841299238 |
| Qualifying information | electronic |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1021/acsinfocus.7e5017 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)slc00002392 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | NjRocCCS |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | NjRocCCS |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | R859.7.A78 |
| Item number | M446 2022eb |
| 060 #4 - NATIONAL LIBRARY OF MEDICINE CALL NUMBER | |
| Classification number | W26.55.A7 |
| Item number | M446 2022eb |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 615.19 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Melo, Marcelo C.R., |
| Relator term | author. |
| Affiliation | University of Pennsylvania. |
| 9 (RLIN) | 67830 |
| 245 00 - TITLE STATEMENT | |
| Title | Machine learning for drug discovery / |
| Statement of responsibility, etc. | Marcelo C.R. Melo, Jacqueline R. M. A. Maasch & Cesar de la Fuente Nunez. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Washington, DC, USA : |
| Name of producer, publisher, distributor, manufacturer | American Chemical Society, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource : |
| Other physical details | illustrations (some color). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | ACS in focus, |
| International Standard Serial Number | 2691-8307 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 00 - FORMATTED CONTENTS NOTE | |
| Title | Pursuing New Models and Molecules -- |
| -- | Key Algorithms for Drug Discovery -- |
| -- | Data Representation in Computational Chemistry -- |
| -- | Drug-likeness Prediction -- |
| -- | Antimicrobial Activity Prediction -- |
| -- | Antimicrobial Resistance Prediction -- |
| -- | Generative Deep Learning for Drug Discovery -- |
| -- | Future Directions. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Machine Learning for Drug Discovery is designed to suit the needs of graduate students, advanced undergraduates, chemists or biologists otherwise new to this research domain with minimal previous exposure to Machine Learning (ML) methods, or computational scientists with minimal exposure to medicinal chemistry. The e-book covers basic algorithmic theory, data representation methods, and generative modeling at a high level. The authors spotlight antibiotic discovery as a case study in ML for drug development and discuss diverse applications in drug-likeness prediction, antimicrobial resistance, and areas for future inquiry. For a more dynamic learning experience, open-source code demonstrations in Python are included."-- |
| Assigning source | Provided by publisher. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | American Chemical Society, Machine Learning for Drug Discovery eBooks - 2022 Front Files. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence |
| General subdivision | Medical applications. |
| 9 (RLIN) | 4809 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Drug development |
| General subdivision | Data processing. |
| 9 (RLIN) | 67574 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 9 (RLIN) | 1831 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Medical informatics. |
| 9 (RLIN) | 4729 |
| 650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Drug Evaluation |
| General subdivision | methods. |
| 9 (RLIN) | 67575 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Maasch, Jacqueline R. M. A., |
| Relator term | author. |
| Affiliation | Cornell University. |
| 9 (RLIN) | 67831 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Fuente Nunez, Cesar de la, |
| Relator term | author. |
| Affiliation | University of Pennsylvania. |
| 9 (RLIN) | 67832 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | American Chemical Society. |
| 9 (RLIN) | 67532 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | ACS in focus, |
| International Standard Serial Number | 2691-8307 |
| 9 (RLIN) | 67833 |
| 856 4# - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://dx.doi.org/10.1021/acsinfocus.7e5017">http://dx.doi.org/10.1021/acsinfocus.7e5017</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
No items available.