Dhyan dijiye! Ek naya jadoo aaya hai, jo prakriti ke rahasya ko kholega aur dawaon ki khoj ko badal dega. Haan, aapne sahi suna – Google DeepMind aur Isomorphic Labs ne milkar AlphaFold 3 namak naye AI model ko viksit kiya hai, jo proteins, DNA, RNA, ligands aur anya molecules ki structure ko satik roop se bhavishyavani kar sakta hai, aur yeh kaise interact karte hain, yeh bhi bata sakta hai.

Prati paudhe, prani aur manushya ki koshika ke andar arabon molecular machines hote hain. Yeh proteins, DNA aur anya molecules se bane hote hain, lekin ek akele tukda akele kaam nahi kar sakta. Is prakar ke laakhon prakar ke combinations mein unka milaan dekhkar hi hum jeevan ke prakriyaon ko sach mein samajh sakte hain.

Nature mein prakashit ek kagaz mein, humein AlphaFold 3 ke rup mein ek aisa model prastut kiya gaya hai jo sabhi jeevan ke molecules ki structure aur interactions ko beparyaas satikta ke saath bhavishyavani kar sakta hai. Proteins ke anya molecule prakar ke interactions ke liye, humein kam se kam 50% sudhaar dikhai deta hai maujooda prediction methods ke mukable mein, aur kuch mahatvapurn interaction ke liye humne prediction accuracy ko duguna kiya hai.

Hum umeed karte hain ki AlphaFold 3 humare jeevan vigyaan aur dawaon ki khoj mein ek naya ujala laayega. Vaigyanik muft mein iske adhikansh guno ka upyog kar sakte hain, hamare haal hi mein shuru kiye gaye AlphaFold Server ke madhyam se, ek aasan aur muft shodh upkaran.

Dawaon ke nirmaan ke liye AlphaFold 3 ki sambhavnaon ko badhane ke liye, Isomorphic Labs pahle hi dawaon ke nirmaan ke asli duniyavi challenges mein iska upyog kar raha hai aur ant mein, rog ke naye jeevan badal dene wale upcharon ko viksit kar raha hai.

AlphaFold 3 apne agle peedhi ki sashakti shailee aur prashikshan se prapt karta hai, jo ab jeevan ke sabhi molecules ko shaamil karta hai. Is model ka mool roop se ek behtareen sudharan AlphaFold 2 ke Evoformer module mein hai, jo AlphaFold 2 ke adbhut performance ka mool tha.

Prakriya ko poori karne ke baad, AlphaFold 3 apne predictions ko ek diffusion network ka upyog karke jodta hai, jo AI image generators mein paye jate hain. Diffusion prakriya ek atoms ka baadal se shuru hoti hai, aur kai kadam ke dauraan apne antim, sabse satik molecular structure par milta hai.

AlphaFold 3 ke molecular interactions ke bhavishyavani, sabhi maujooda systems ke mukable satikta ko paar kar deti hai. Ek hi model ke roop mein jo poori tarah se molecular complexes ko ek samagr tarike se ganit karta hai, vah vaigyanik gyaan ko ekikrit roop se milata hai.

Isomorphic Labs mein dawaon ki khoj ka netritva AlphaFold 3 dawaon ki design ke liye gunvatta taiyar karta hai, jaise ki ligands aur antibodies, jo proteins se judkar unke interact karne ka tarika badal dete hain insani swasthya aur rog mein.

AlphaFold 3 dawaon jaise interactions ko bhavishyavani mein beparyaas satikata ke saath kar pata hai, jaise ki proteins ke ligands ke saath judne aur antibodies ke unke lakshya proteins ke saath judne ke, bina kisi structural information ke.

AlphaFold 3, PoseBusters benchmark par sabse achha traditional methods ke mukable 50% adhik satik hai, jo bina kisi structural information ke biomolecular structure prediction ke liye bhavishyavani kar sakta hai, isse AlphaFold 3 ko pehla AI system banata hai jo physics-based tools ko paar kar deta hai. Antibody-protein binding ka bhavishyavani karna insan ke pratirodhak pratikriya ke pahluon ko samajhne aur naye antibodies ke design ka mahatvapurn hai – ek tezi se badh rahi therapeutics ki ek shreni.

Isomorphic Labs ke apne in-house AI models ke saath AlphaFold 3 ka upyog karke, dawaon ki design par kaam ho raha hai. Isomorphic Labs AlphaFold 3 ko rog ke naye lakshya ko samajhne mein aur pehle se asambhav lakshyon ko dhoondhne ke naye tareeke viksit karne mein madad karta hai.

AlphaFold Server: Ek muft aur saral shodh upkaran Google DeepMind ke abhi abhi shuru kiye gaye AlphaFold Server duniya ka sabse satik tool hai proteins ke doosre molecules ke saath interact karne ki bhavishyavani karne ke liye. Yeh ek muft platform hai jise vaigyanik duniya bhar mein non-commercial research ke liye prayog kar sakte hain.

Kuch hi clicks se, jeev vigyaan ke vaigyanikon ko AlphaFold 3 ke shakti ka upyog karne ka mauka milta hai, jo proteins, DNA, RNA aur ek chayan se ligands, ions aur chemical modifications ke structures ka model banane mein sahayak hota hai.

AlphaFold Server vaigyanikon ko lab mein parikshan karne ke liye naye hypotheses banana mein madad karta hai, jisse workflow tezi se badh jaata hai aur naye innovation ko anjaam diya ja sakta hai.

Hamara platform vaigyanikon ko bhavishyavani banane ka ek suvidhajanak tareeka pradan karta hai, bina unke paas computational resources ke ya machine learning mein unki maharat ke access ke.

Prayogshala mein protein-structure prediction lagbhag ek PhD ki lambai aur laakhon dollars ki lagat tak le sakta hai.

Hamara pehla model, AlphaFold 2, ne laakhon structures ki bhavishyavani ki hai, jo ki abhi ke tay rate par experimental structural biology ke rup mein laakhon researchers-years ko le leti.