The Prague Post - AI-aided research, new materials eyed for Nobel Chemistry Prize

EUR -
AED 4.177115
AFN 81.881407
ALL 99.252011
AMD 444.59148
ANG 2.049629
AOA 1037.159602
ARS 1294.14051
AUD 1.780172
AWG 2.047025
AZN 1.937816
BAM 1.956825
BBD 2.294803
BDT 138.092365
BGN 1.957857
BHD 0.428625
BIF 3332.101328
BMD 1.137236
BND 1.492134
BOB 7.854392
BRL 6.605299
BSD 1.136596
BTN 97.022843
BWP 15.66621
BYN 3.71968
BYR 22289.824581
BZD 2.282996
CAD 1.574122
CDF 3271.828234
CHF 0.930817
CLF 0.028662
CLP 1099.88957
CNY 8.306268
CNH 8.306019
COP 4901.486936
CRC 571.199327
CUC 1.137236
CUP 30.136753
CVE 110.77121
CZK 25.063093
DJF 202.11002
DKK 7.466603
DOP 68.807192
DZD 150.758867
EGP 58.143353
ERN 17.058539
ETB 151.279275
FJD 2.59711
FKP 0.856519
GBP 0.857288
GEL 3.116471
GGP 0.856519
GHS 17.695835
GIP 0.856519
GMD 81.31675
GNF 9843.350125
GTQ 8.754588
GYD 238.429138
HKD 8.827817
HNL 29.46444
HRK 7.519522
HTG 148.317723
HUF 408.38716
IDR 19177.096068
ILS 4.189521
IMP 0.856519
INR 97.094367
IQD 1489.779092
IRR 47906.064711
ISK 145.100373
JEP 0.856519
JMD 179.644139
JOD 0.806646
JPY 161.682017
KES 147.276378
KGS 99.205077
KHR 4566.00273
KMF 492.996098
KPW 1023.486197
KRW 1613.044532
KWD 0.348711
KYD 0.947196
KZT 594.971784
LAK 24598.413953
LBP 101896.34134
LKR 339.937138
LRD 227.418803
LSL 21.444738
LTL 3.357963
LVL 0.687903
LYD 6.221113
MAD 10.547908
MDL 19.662304
MGA 5177.713287
MKD 61.514233
MMK 2387.750039
MNT 4034.978004
MOP 9.086962
MRU 44.847502
MUR 51.278399
MVR 17.517685
MWK 1974.241998
MXN 22.428272
MYR 5.012372
MZN 72.675107
NAD 21.444738
NGN 1824.926761
NIO 41.821916
NOK 11.919455
NPR 155.236349
NZD 1.916394
OMR 0.437833
PAB 1.136596
PEN 4.279463
PGK 4.700463
PHP 64.495498
PKR 319.112616
PLN 4.278742
PYG 9097.767521
QAR 4.140226
RON 4.978937
RSD 117.291464
RUB 93.451578
RWF 1609.188866
SAR 4.267179
SBD 9.516785
SCR 16.196165
SDG 682.914367
SEK 10.955779
SGD 1.490626
SHP 0.893689
SLE 25.900592
SLL 23847.250746
SOS 649.934509
SRD 42.248737
STD 23538.488054
SVC 9.945212
SYP 14785.985057
SZL 21.403201
THB 37.92345
TJS 12.206811
TMT 3.980326
TND 3.398104
TOP 2.663525
TRY 43.355779
TTD 7.712041
TWD 36.987505
TZS 3056.325739
UAH 47.101683
UGX 4166.329832
USD 1.137236
UYU 47.664978
UZS 14768.739292
VES 91.955341
VND 29420.293975
VUV 138.058823
WST 3.166177
XAF 656.312471
XAG 0.034866
XAU 0.000342
XCD 3.073437
XDR 0.816192
XOF 653.911048
XPF 119.331742
YER 278.907529
ZAR 21.425938
ZMK 10236.492294
ZMW 32.36396
ZWL 366.189511
  • JRI

    0.1600

    12.4

    +1.29%

  • SCS

    0.0500

    9.76

    +0.51%

  • BCE

    0.4200

    22.04

    +1.91%

  • GSK

    0.5600

    35.93

    +1.56%

  • CMSD

    0.0400

    21.96

    +0.18%

  • BCC

    0.7800

    93.47

    +0.83%

  • RBGPF

    63.5900

    63.59

    +100%

  • NGG

    0.6300

    72.11

    +0.87%

  • RIO

    1.0100

    58.17

    +1.74%

  • AZN

    0.5400

    67.59

    +0.8%

  • VOD

    0.1400

    9.31

    +1.5%

  • BTI

    0.5400

    42.37

    +1.27%

  • CMSC

    0.0400

    21.82

    +0.18%

  • BP

    0.6600

    28.32

    +2.33%

  • RYCEF

    -0.1400

    9.36

    -1.5%

  • RELX

    1.0000

    52.2

    +1.92%

AI-aided research, new materials eyed for Nobel Chemistry Prize
AI-aided research, new materials eyed for Nobel Chemistry Prize / Photo: Daniel LEAL - POOL/AFP

AI-aided research, new materials eyed for Nobel Chemistry Prize

The development of new compounds and science aided by artificial intelligence are some of the research fields commentators say could be contenders for the Nobel Chemistry Prize announced Wednesday.

Text size:

The winner or winners of the prestigious award will be unveiled by the Royal Swedish Academy of Sciences in Stockholm from 11:45 am (0945 GMT).

The chemistry prize follows the physics prize, which on Tuesday honoured American John Hopfield and Canadian-Brit Geoffrey Hinton for key breakthroughs in artificial intelligence (AI).

While the AI duo was not among the top names mentioned ahead of the physics prize, some pundits have speculated the technology may also feature in the chemistry prize.

Google DeepMind's director John Jumper and CEO and co-founder Demis Hassabis -- who were honoured with the prestigious Lasker Award in 2023 -- could win for their work on the AI-model Alphafold.

The AI tool is used to predict the three-dimensional structure of proteins based on their amino acid sequence.

Analytics group Clarivate, which keeps an eye on potential Nobel science laureates, placed the pair among the top picks for the 2024 candidates.

- 'A kind of revolution' -

David Pendlebury, head of the research group, admits that while a 2021 paper by Jumper and Hassabis has been cited thousands of times, it would be unusual for the Nobel jury to reward work so quickly after publication -- as most discoveries that are honoured date back decades.

But "a paper so recently published and so highly cited is such a clear signal of a kind of revolution", Pendlebury said.

Another name often cited for the chemistry nod is American-Jordanian Omar Yaghi.

Yaghi developed a type of customised porous material known as MOF (metal-organic framework), now used in commercial products that can, among other things, absorb and decontaminate toxins, act as a catalyst or even absorb water from desert air.

Lars Brostrom, science editor at Swedish Radio, told AFP that such materials "are already in practical use and it is time for a Nobel Prize".

Yaghi's name has previously been floated alongside Japan's Susumu Kitagawa and Makoto Fujita -- also considered pioneers of the technology.

If Yaghi is passed over again, Brostrom speculated that Taiwanese-American biochemist Chi-Huey Wong could be awarded for coming up with "biochemical methods used in the pharmaceutical industry".

In the area of pharmaceutics, US chemical engineer Robert Langer has been mentioned. Brostrom called him "one of the most cited scientists in the world".

Karl Deisseroth, a US psychiatrist and neurologist, has also been mentioned for the past decade as a possible laureate for developing the field of optogenetics, using light to control cells.

- Molecular dynamics -

The names of Princeton University's Roberto Car and Italian physicist Michele Parrinello at the Italian Institute of Technology have also been floated this year.

The duo, despite being physicists, have been talked about for the chemistry prize for the "Car-Parrinello method" -- used for calculating molecular dynamics.

In the past, top names believed to be in the running were US-based James J. Collins, Michael Elowitz and Stanislas Leibler, whose work on "synthetic gene circuits" launched the field of "synthetic biology."

Stanford University chemical engineering professor Zhenan Bao has also been tipped for the prize in the past.

The Chinese-American and her team have invented an "artificial electronic skin" by developing materials for stretchable circuits and flexible batteries.

Last year, the chemistry prize went to French-born Moungi Bawendi, Louis Brus of the United States and Russian-born Alexei Ekimov for developing tiny "quantum dots" used to illuminate TVs and lamps.

Awarded since 1901, the Nobel Prizes honour those who have, in the words of prize creator and scientist Alfred Nobel, "conferred the greatest benefit on humankind".

On Monday, the Medicine Prize was awarded to American scientists Victor Ambros and Gary Ruvkun for their discovery of microRNA and its role in how genes are regulated.

Wednesday's chemistry prize will be followed by the highly watched literature and peace prizes to be announced on Thursday and Friday respectively.

The economics prize wraps up the 2024 Nobel season on October 14.

The winners will receive their prize, consisting of a diploma, a gold medal and a $1 million cheque, from King Carl XVI Gustaf at a formal ceremony in Stockholm on December 10, the anniversary of the 1896 death of scientist Alfred Nobel who created the prizes in his will.

A.Stransky--TPP