Artificial intelligence platform for molecular targeted therapy : (Record no. 49738)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04318nam a2200433 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | WSP |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260416153409.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210408s2021 si ob 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789811232312 |
| -- | (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9789811232305 |
| -- | (hardback) |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | SCI |
| Subject category code subdivision | 010000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | TEC |
| Subject category code subdivision | 059000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 004000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 615.1/9 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Fernández, Ariel, |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial intelligence platform for molecular targeted therapy : |
| Remainder of title | a translational science approach / |
| Statement of responsibility, etc | by Ariel Fernández, Daruma Institute, Argentina & AF Innovation, USA & CONICET-National Research Council, Argentina. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xviii, 450 pages) |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Contents | Foreword -- About the author -- Preface -- Propaedeutic to artificial intelligence -- Epistructural biology : a conceptual and representational framework for AI-based drug design -- Artificial intelligence constructs in vivo reality to expedite protein folding -- Epistructural meta-analysis of functional genomics repositories: Towards an ai platform to infer amyloidogenic propensity -- Molecular evolution from the perspective of epistructural biology -- Epistructural biochemistry -- Epistructural drug design : next-generation targeted therapeutics -- Anticancer treatment synergizing targeted therapies with immune responses -- Epistructurally engineered cancer susceptibility to checkpoint immunotherapy and the ai-empowered steering of cancer evolution towards extinction -- AI-empowered molecular dynamics -- Artificial intelligence guides drug design in the absence of information on target structure and regulation and unravels the origin of cooperativity -- Artificial intelligence teaches drugs to target proteins by solving the drug-induced folding problem -- Epilogue : AI constructs its own physics -- Appendix 1 : code for dehydron identification -- Index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "In the era of big biomedical data, there are many ways in which artificial intelligence (AI) is likely to broaden the technological base of the pharmaceutical industry. Cheminformatic applications of AI involving the parsing of chemical space are already being implemented to infer compound properties and activity. By contrast, dynamic aspects of the design of drug/target interfaces have received little attention due to the inherent difficulties in dealing with physical phenomena that often do not conform to simplifying views. This book focuses precisely on dynamic drug/target interfaces and argues that the true game change in pharmaceutical discovery will come as AI is enabled to solve core problems in molecular biophysics that are intimately related to rational drug design and drug discovery. Here are a few examples to convey the flavor of our quest: How do we therapeutically impair a dysfunctional protein with unknown structure or regulation but known to be a culprit of disease? In regards to SARS-CoV-2, what is the structural impact of a dominant mutation?, how does the structure change translate into a fitness advantage?, what new therapeutic opportunity arises? How do we extend molecular dynamics simulations to realistic timescales, to capture the rare events associated with drug targeting in vivo? How do we control specificity in drug design to selectively remove side effects? This is the type of problems, directly related to the understanding of drug/target interfaces, that the book squarely addresses by leveraging a comprehensive AI-empowered approach"--Publisher's website. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Drugs |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Drug development. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Molecular dynamics. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://www.worldscientific.com/worldscibooks/10.1142/12160#t=toc">https://www.worldscientific.com/worldscibooks/10.1142/12160#t=toc</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Electronic Books |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Dates associated with a name | 1957- |
| Relator term | author. |
| 264 #1 - | |
| -- | Singapore : |
| -- | World Scientific, |
| -- | 2021. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | System requirements: Adobe Acrobat Reader. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| General subdivision | Design. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4 |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Location | Date of Cataloging | Total Checkouts | Full call number | Barcode | Date last seen | Uniform Resource Identifier | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | CUTN Central Library | CUTN Central Library | 16/04/2026 | 615.1/9 | EB04934 | 16/04/2026 | https://doi.org/10.1142/12160 | 16/04/2026 | Electronic Books |