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Drug design using machine learning /

Inamuddin, (1980-)

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Drug design using machine learning /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Drug design using machine learning // edited by Inamuddin ... [et al.]
other author:	Inamuddin,
Published:	Hoboken, NJ :John Wiley & Sons, Inc., : c2022.,
Description:	xvii, 355 p. :ill. ;24 cm.
Subject:	Drugs - Design. -
ISBN:	9781394166282

Drug design using machine learning /
Drug design using machine learning /edited by Inamuddin ... [et al.] - Hoboken, NJ :John Wiley & Sons, Inc.,c2022. - xvii, 355 p. :ill. ;24 cm.

Includes bibliographical references and index.

The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or complex ailments.

ISBN: 9781394166282US225.00Subjects--Topical Terms:

664528
Drugs
--Design.

LC Class. No.: RS420 / .D78 2022

Dewey Class. No.: 615.1/9

Drug design using machine learning /
LDR:01292cam a2200241 a 4500 001 2307418
003 OCoLC
005 20221230113617.0
008 230502s2022 njua b 001 0 eng d
020 $a 9781394166282 $q (hbk.) : $c US225.00
020 $a 1394166281 $q (hbk.)
020 $z 1394167245 $q (ebk.)
020 $z 1394167253 $q (ebk.)
020 $z 9781394167241 $q (ebk.)
020 $z 9781394167258 $q (ebk.)
035 $a (OCoLC)1346534709
040 $a YDX $b eng $e aacr2 $c YDX $d YDX $d DG1 $d OCLCF
050 # 4 $a RS420 $b .D78 2022
082 0 4 $a 615.1/9 $2 23/eng/20221021
245 0 0 $a Drug design using machine learning / $c edited by Inamuddin ... [et al.]
260 # $a Hoboken, NJ : $b John Wiley & Sons, Inc., $c c2022.
300 $a xvii, 355 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
520 # $a The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or complex ailments.
650 # 0 $a Drugs $x Design. $3 664528
650 # 0 $a Computer-aided design. $3 531217
650 # 0 $a Machine learning. $3 533906
700 0 # $a Inamuddin, $d 1980- $3 3512922